Sunday, 30 November 2014

AUTOMATED GREENHOUSE SYSTEM FINAL PROPOSAL



AUTOMATED GREEN HOUSE SYSTEM
BY
BSE15-66
REAL TIME EMBEDDED SYSTEM
DEPARTMENT OF NETWORKS
COLLEGE OF COMPUTING AND INFORMATION SCIENCES

A Project Proposal Submitted to the college of Computing and Information sciences for the Study Leading to a Project in Partial Fulfillment of the Requirements for the Award of the Degree of Bachelor of Science in Software Engineering of Makerere University.


Supervisor
Mr. Odongo Steven.
Department of Networks

School of Computing and Informatics Technology, Makerere University
sodongo@cis.mak.ac.ug, +256-775-199511, +256-702-102999

November 2014.
GROUP MEMBERSHIP:

#
Names
Registration Number
Student Number
Signature
1
BONGOMIN MICHEAL
11/U/16336/EVE
211008202

2
SSEMAGANDA ALLAN PAYNE
11/U/16392/EVE
211012215

3
KALUNDA DERRICK
11/U/16413/EVE
211015118

4
OTIM PAUL
11/U/16306/EVE
211007769





















APPROVAL:
This proposal has been submitted for examination with the approval of our project supervisor.
Supervisor
Mr. Odongo Steven
Signature: ……………………………………………………………………………………………….
Date: ……………………………...........................................................................................................


Table of Contents
1.3        Main Objective. 4
1.4        Specific Objectives. 4
1.5        Scope. 5
1.6        Significance. 5
3.0        Methodology. 13
3.1.1         Interviews. 13
3.1.2         Questionnaires. 13
3.1.3         Literature Review.. 13
3.1.4         Observation. 14
3.2.1         System Analysis. 14
3.2.2         System Design. 14
3.2.3         System Implementation. 17
3.3.1         Testing. 25





LIST OF ACRONYMS AND ABBREVIATIONS
AGHS
Automated Greenhouse System
ACPIS
Automatic Pest Control and Irrigation System
UN-FAO
United Nations Food and Agriculture Organization
F.O.T
Flowers On Time
MSU
ARS
VG3
Virtual Grower 3.0
CO2
Carbon dioxide
GCOPS
Greenhouse Cost of Production Software
LED
Light Emitting Diode
LCD
Liquid Crystal Display
°F
Degrees Fahrenheit
°C
Degrees Centigrade


1.0          ­Introduction


With use of modern-day technology, automated greenhouses have become widely popular among professional greenhouse caretakers and hobbyists alike. With the advent of newly affordable technologies such as microcontrollers and environmental sensors, engineers and hobbyists have devised ways to cut plant maintenance to a minimum. While some automated greenhouses require little to no additional caretaking, others are simplistic and control only limited functions such as watering and timed lighting. By allowing as much automation as possible, the Automated Greenhouse will reduce the amount of time spent caretaking for plants, and eliminates worry when a user is away for long durations.
The Automated Greenhouse control unit will allow the user will stray from the tedious job of tending to the nutritional needs of plants. Under one interface, one can monitor important plant growth factors, such as lighting, soil moisture, relative humidity, and temperature, as well as monitor incoming power sources to be used to operate greenhouse equipment. The autonomous system will nurture the plants without the user being present, under a pre-set range of optimal conditions, while having the ability to run more efficiently off of alternative energy sources.

1.1     Background to the Problem

The out-paced population growth to adequate food supply in today’s world has posed a serious threat to the peace and stability of the global community. There are a vast number of people living in today’s world lack access to enough food for healthy lives. The United Nations Food and Agriculture Organization (UN-FAO) has identified 82 poor countries that face rapid population growth do not produce enough food domestically, constrained to producing more food, and cannot import enough to make up the deficit. More than 840 million people, with disproportionately women and children, suffer chronic malnourishment. Each year about 18 million people, mostly children, die from starvation, malnutrition, and related causes. With one-third of world population lacking food now, the UN-FAO estimates that world food production would have to double to provide food security for 8 billion people with 6.8 billion living in developing countries. The rate of food production in these countries continues to deteriorate in the past century. For instance, Africa now produces nearly 30% less food per person than it did in 1967. There are many reasons for the deterioration in food productions in developing countries. Rapid population growth has resulted in increasing demand for food supplies. Another serious reason is that most of these countries already cultivated virtually all arable land. In many areas, fertile soils are being exploited faster than they can be regenerated.
Short supply of fresh water is another major cause for reduction in food production in these countries.
Greenhouses provide a unique advantage in growing food with virtually no adverse effect to the environment. It is the only method of food production that makes use of control of the environment. While no one can realistically expect the substitution of natural agriculture in food production by greenhouses, they can nevertheless alleviate the serious shortage of food in developing countries, and also mitigate the contribution of greenhouse gases by the food industry in affluent countries with modern technologies of clean renewable energies and intelligent control in crop growth and operations. The proposed greenhouses can grow food with less dependence on the expensive traditional energy sources and can be made to be affordable to the growers in developing countries. It thus has great potential to become a sustainable food production technology for self-sufficiency of food for people in the developing countries, and those in affluent countries determined to mitigate their use of fossil fuels in food production.


1.2     Problem Statement

The high costs involved in manually managing a greenhouse that is; hiring people to always check, monitor and irrigate crops is inhibiting farmers from adopting the habit of growing crops in greenhouses in Uganda today. As a result few farmers in Uganda today are using greenhouses which in turn has led to inconsistent and inadequate food supply during given periods/seasons of the year. This is mainly specific to vegetables which tend to be scarce which hikes their prices during certain seasons of the year.

1.3 Main Objective

To automate the management of crop growth in a greenhouse

1.4            Specific Objectives

1.4.1        To study and investigate the current operation and management of greenhouses by agriculturalists in Uganda today and costs involved.
1.4.2        To analyze data available on automated greenhouse crop production to see how this system will address issues and its convenience to people who will use it.
1.4.3        To design and implement a temperature assessment and control system in the green house, a soil moisture control module, which will predict and appropriately irrigate the crops and assess adequate sunlight requirements for crops and control crop exposure.
1.4.4        To apply our knowledge of systems analysis and design to appropriately test, validate and verify the green house automated system and design a user manual and deployment strategies to ensure that it is working in its intended environment.




1.5 Scope

This research is intended to cover the agricultural sector specifically crop husbandry (horticulture) in green houses. This is to boost crop productivity despite the harsh factors that exist in the natural environment. For example
The system is to be used in the automatic management of conditions such as temperature, humidity, sunlight and irrigation in a green house. The green houses under study are those found in East Africa and specifically in Uganda, since the climatic conditions in these areas are similar.
The user will be provided with information about the state of conditions in the green house. This information will be relayed in form of a user interface which the user will also be able to control and adjust values accordingly which will in turn change the state (conditions) of the green house appropriately.

1.6 Significance

Once implemented, the Automated Green House system will significantly reduce on the number of man power or labor required in the daily management of a green house.
It will also enable the farmer to know the status of the green house but also be able to control the state of the green house without necessarily moving to the green house.
The system will also be able to check on the wastage of resources like unnecessary watering of the plants in the green house. This will be done in such a way that the system will have sensors in the ground that will check the amount of water in the soil and also do the irrigation accordingly.


2.0    Literature Review

The objective of our research is to examine and explore various concepts that intertwine with the proposed project - the Automated Greenhouse. In this project, we will cover: plant growth, environmental control methods, power distribution and efficiency, and control units. Each of these topics will be reviewed through related research and publications. However, they should give reasonable insight on the feasibility of certain aspects of the design, and provide new overall ideas to the project.

2.1 Greenhouse Cultivation and Advancements

Emperor Tiberius of Rome (42 BCE–37 CE) is thought to be the first person to utilize a structure that can be considered a greenhouse.  He did this to be able to eat his favorite food all year long, many guess that this food was the humble cucumber, this love of food started a new wave of agriculture and it is this specific form of agriculture that this paper looks to examine. [1] 
The first thing to decide when faced with designing a greenhouse is to consider the structure you are going to be using.  There are four different categories of greenhouses each with their own benefits and drawbacks to consider:

2.1.1  Lean-to green house

A lean-to greenhouse is a half greenhouse, split along the peak of the roof, or ridge line (Figure 2A), Lean-tos are useful where space is limited to a width of approximately seven to twelve feet, and they are the least expensive structures. The ridge of the lean-to is attached to a building using one side and an existing doorway, if available. Lean-tos are close to available electricity, water and heat. The disadvantages include some limitations on space, sunlight, ventilation, and temperature control. The height of the supporting wall limits the potential size of the lean-to. The wider the lean-to, the higher the supporting wall must be. Temperature control is more difficult because the wall that the greenhouse is built on may collect the sun's heat while the translucent cover of the greenhouse may lose heat rapidly. The lean-to should face the best direction for adequate sun exposure. Finally, consider the location of windows and doors on the supporting structure and remember that snow, ice, or heavy rain might slide off the roof or the house onto the structure.

2.1.2  Even-span green house

An even-span is a full-size structure that has one gable end attached to another building (Figure 2B). It is usually the largest and most costly option, but it provides more usable space and can be lengthened. The even-span has a better shape than a lean-to for air circulation to maintain uniform temperatures during the winter heating season. An even-span can accommodate two to three benches for growing crops.

2.1.3 Window-mounted green house

A window-mounted greenhouse can be attached on the south or east side of a house. This glass enclosure gives space for conveniently growing a few plants at relatively low cost (Figure 2D). The special window extends outward from the house a foot or so and can contain two or three shelves.

2.1.4 Freestanding Structures

Freestanding greenhouses are separate structures; they can be set apart from other buildings to get more sun and can be made as large or small as desired (Figure 2C). A separate heating system is needed, and electricity and water must be installed.”[2]

2.2 Variants of Green House Systems

The green house technology is not a completely new invention because from the research we carried out; it shows that there are a few aspects that have been previously developed though not with the interest of a green house. Many of these models are used for very specific conditions while others require extensive instrumentation making them expensive or complicated and the fact that most of them are for cost and production scheduling. Similar systems developed to control activities in a greenhouse environment include the following;                                     
Flowers on Time is a greenhouse control software. F.O.T was existent from about the year 2010 (exact date not specified). This system was developed by Researchers at University of Florida, Michigan State University (MSU), and University of Minnesota. F.O.T provides Quick analysis or second opinion of the impact that changing greenhouse temperatures will have on crop timing. This system is also reliant on excel that poses some disadvantage as for those without it that is those who might prefer other spreadsheet software or without knowledge of Microsoft excel.The software can be downloaded at Floriculture Research Alliance website at    http://www.floriculturealliance.org/ . The data required by FOT is Species/ cultivar (62 to choose from); the standard cropping time it usually takes you to grow that species/ cultivar (in days); and the standard production temperature you usually use for that cropping time. FOT calculates and displays a table showing the effect of raising/ lowering your temperatures six degrees either direction on time to flower.
Virtual Grower 3.0 a greenhouse cost and production management software developed by USDA Agricultural Research Service (ARS). Virtual grower is Compatible with computers running Windows XP, Vista, Windows 7, and Mac OSX 10.4.11 and above. Virtual Grower 3.0 is used for accurate predictive estimates for heating and lighting costs for each greenhouse, as well as basic plant scheduling information (weeks to flower). It can be obtained from USDA-ARS Products and Services website at http://www.ars.usda.gov/ . The data that users are required to enter while using this system is Dimensions, style, and construction materials of each of your greenhouses; type, duration, and set-points of supplemental lighting and heating systems; type and location of energy curtains, air infiltration; and plants grown (40 varieties available).

The Automatic Pest Control and Irrigation System 2014 developed by BSE14-1. APCIS does activities specific to pest fumigation for disease and pest control. The system also performs frequent irrigation activities depending on soil moisture values. ACPIS provides a user interface on a computer from which the user can provide control. The user interface is written using C# programming language that interfaces with the arduino board to provide control to the different modules of the system.
Greenhouse Cost of Production Software costs $30 and was designed by Researchers and Extension educators at MSU. It is used for Developing estimated costs and detailed accounting information on a per crop basis. Requires a user to enter for each crop: plant date, sell date, number of units grown, sizes and spacing of units, number sold, projected sale prices, fertilizer, pesticide, media, and labor costs. The program calculates and provides a summary of all direct and indirect costs per crop and in total, as well as break-even analysis for pricing.
The table below shows a comparison of various aspects of the different greenhouse systems available and our proposed greenhouse system; Automated Greenhouse System (AGHS).











ITEM OR SPECIFICATION
SOFTWARE/PROGRAM
VIRTUAL GROWER 3.0
ACPIS
FOT
AGHS(PROPOSED)
GCOPS
DEVELOPER
BSE14-1
BSE15-66
Researchers and Extension educators at MSU
TEMPERATURE /HEAT CONTROL
AVAILABLE
AVAILABLE
AVAILABLE
AVAILABLE
N/A
IRRIGATION
N/A
AVAILABLE
N/A
AVAILABLE
N/A
LIGHT-CONTROL
AVAILABLE
N/A
N/A
AVAILABLE
N/A
HUMIDITY CONTROL
AVAILABLE
AVAILABLE

AVAILABLE
N/A
SOFTWARE REQUIREMENTS
WINDOWS
WINDOWS
MICROSOFT EXCEL MUST BE PRESENT
WINDOWS

MICROSOFT EXCEL MUST BE PRESENT
PLANT SCHEDULING
AVAILABLE
-
-
-
AVAILABLE
USER DATA
DIMENSIONS , STYLES, AREA etc
ENVIRONMENT CONTROL VALUES
TEMPERATURE, CULTIVAR
ENVIRONMENT CONTROL VALUES
COST OF FERTILIZERS, PESTICIDES etc
   TABLE 2A: Automated Greenhouse System Comparison With Other existing Systems
In conclusion, most of the studies carried out on similar systems indicate that they have successfully performed to their expectations which indicate that the proposed system of automating the management of a greenhouse poses more chances of success.

2.3     Conclusion

Because of the design constraints of our project we are going to be employ the freestanding structure greenhouse model.  This structure is the most suitable option for a small scale greenhouse and the cheapest per square foot option.  
The next item to consider is the building materials themselves, there are many options to consider when it comes to materials but a thorough explanation of each material is beyond the scope of this paper.  Instead the focus will be glass, this is the most traditional material and for this project it happens to be more cost effective.  Glass also offers a more stable structure and is nearly 100% efficient at allowing light through to our plants.  It won’t discolor over time like the plastic options will and it offers an all-around nice feel and look.
And finally for this specific project, we will consider the growth of horticultural vegetable crops in the automated green house. These vegetable crops have been chosen for this project due to a few different factors such as the conditions in which they grow.


3.0 Methodology

This chapter represents the package of practical ideas and proven practices such as planning, designing and development of the Automated Greenhouse System.
It includes the methods and procedures, techniques to be employed in the research study, data analysis and design, implementation, testing and validation of the proposed system.
It explains how the temperature, light intensity and humidity shall be monitored and regulated to suit the growth requirements of a flower in a greenhouse.

3.1 Data collection techniques

The techniques used will allow us to systematically collect information about our study area and access information about flower growth plus the conditions necessary for proper growth of horticultural crops. These techniques include;

3.1.2 Interviews

In this technique, we shall engage the interviewee in a one to one guided interview. This will be carried out with different stakeholders. Responses about how they currently carryout their activities shall be noted down, analyzed and processed which shall later be used in the design and implementation of the proposed system.

3.1.3 Questionnaires

In this technique, a number of questions basing on the objectives of the study will be printed and administered to the respondents who will be required to fill in appropriate data. The data got from the respondents will be analyzed and processed to provide the requirements for the proposed system.

3.1.4 Literature Review

This will involve a critical review of the published research work from journals, internet sources, books, and projects already done in the study area.
We shall later identify the contributions, weaknesses and gaps in theses already developed projects will later covered in the proposed system.

3.1.5 Observation

This will involve visiting some of the already established farms and observing the processes used to currently carry out their daily activities. Suggestions about how to improve the current activities will later be used in the design and implementation of the proposed system.

3.2 System Analysis and Design


3.2.2 System Analysis

Designing an Automated Greenhouse Management system to cover the current weaknesses in the management of vegetable growth being employed will involve carrying out the following steps;
·         A detailed study shall be carried out to fully understand the existing systems and hence identify the basic information requirements carried out by a greenhouse.
·         Uses cases shall be employed to identify the different requirements of the stakeholders and requirements provided by the subsystems of the proposed system.
·         A requirements specification document shall be written basing on the information collected using the different data collection techniques used.
·         The requirements specification document shall be used to generate system requirements.

3.2.3 System Design

Design of the proposed system shall basically be made up of two components that is the hardware design which will involve how the physical components of the system are organized and software design which involves how the different modules of the system are organized how they communicate and carry out their functions.


3.1.2.1         Hardware Design

The system shall basically consist two components. The subsystem being controlled by the Arduino board and the subsystem with which the user interacts with installed on the client computer is a graphical user interface application which communicates with the Arduino. The subsystem being controlled by the arduino controls all the components of the proposed system.
For designing the proposed automated green house management system the hardware requirements needed are listed below with the functions provided.

·         Light Emitting Diode (LED)
The LED shall be used to indicate whether a given device is turned ‘ON’ or ‘OFF’. When a device is turned on, readings from the pin on which the device is connected are used to control the LED that is; make the LED pin HIGH or LOW.
The LEDS shall also be used to control light intensity of the greenhouse by reducing or increasing the brightness according to the required conditions at the given time.
The LED will be connected to a specified pin on the Arduino board.

·         Liquid Crystal Display (LCD)
This component shall be used to display the temperature and light intensity readings got from the temperature sensor and photo resistor connected to the Arduino board.
The LCD used shall be a 16X2 LCD and 4 pins will be used for data display.

·         Temperature Sensor
This component shall get temperature readings from the environment using a 5 volts power source. The temperature reading shall be converted to a Celsius scale and displayed on the LCD. The temperature which shall be used to achieve this shall be the LM35DT temperature sensor.



·         Photo Resistor
This will be used to measure the light intensity of the greenhouse and apply the required measures in order to control the light intensity to suit the requirements of the given crop during growth.

·         Fan
This will be an external device being controlled by the microcontroller to provide extra ventilation during warm and sunny days when the warm air in the greenhouse can’t rise up and move out and leave the greenhouse with required temperature.

3.1.2.2         Software Design

This will involves the design of the instructions and the different modules that will control the system. This will include the desktop application which runs on the client machine and the Arduino program embedded in the microcontroller.
·         Desktop Application
This shall run on the client machine and will act as a user interface through which the user will interact with the system. The user shall be required to enter control values for the given greenhouse and the crop planted which will be controlled by the embedded system.
The desktop application shall also be able to connect to a given weather forecast website and capture the weather readings which will be used to control the greenhouse environment according to the weather predictions.

·         Arduino program

The program embedded in the microcontroller shall be able to control all the components connected to the Arduino board and how they provide the functionality of the system.


·         Database
The database shall be a repository for storing all the weather readings got from the weather broadcast channel and it will store the data entered by the user.
This data shall contain the information required to control the growth of the crop in the greenhouse at different stages in its growth

3.2.4 System Implementation

A modularized approach to development will be applied in the development of the system. The system will be composed two main modules that is; The Control module and the Environment or Climate module.

3.2.4.1  Control Module
The control module will be composed of a desktop application that will be written in either java or C#. This will be the interface the user will use to interact with the arduino board that in turn controls the Environment module.
FIG 3A: SHOWING HOW THE CONTROL AND ENVIRONMENT MODULE INTERACT
The control module will be in charge of receiving values entered for the different environmental or climatic conditions and directly implement them in the different control structures of the climate module. This module also be in position to read the different temperature, humidity, light and soil moisture values from the climate module and adjust them accordingly to suite what has been set by the green house manager, how this is done will be explained as we examine the different environment modules in sub-section 3.2.4.2.


3.2.4.2  Environment or Climate module
The environment module is to mainly detect, read and send values of crop growth environmental factors that is; temperature, humidity, light and soil moisture to the control module. On the other hand, it will also implement the user’s adjustments to the values affecting these environmental factors accordingly.
3.2.4.2.1        Temperature Module
Greenhouses are designed to allow as much light as possible to enter the growing area. As a result, the insulating properties of the structure are significantly diminished and the growing environment experiences a significant influence from the constantly fluctuating weather conditions. Solar radiation (light and heat) exerts by far the largest impact on the growing environment, resulting in the challenge maintaining the optimum growing temperatures. To control temperature in the greenhouse, natural ventilation means are opted to be used with the greenhouse which utmost should provide adequate cooling under a wide variety of weather conditions.

Natural ventilation(Figure 3B) works based on two physical phenomena: thermal buoyancy (warm air is less dense and rises) and the so-called “wind effect” (wind blowing outside the greenhouse creates small pressure differences between the windward and leeward side of the greenhouse causing air to move towards the leeward side). All that is needed are (strategically located) inlet and outlet openings, vent window motors, and electricity to operate the motors.



FIG3B: Natural Ventilation By Leaving Openings On Either Side And Above The Greenhouse

Generally, greenhouse designs are for 65°F or approximately between 18°C and 23°C inside capability with thermostatic adjustment for exact conditions per horticultural recommendations.
Factors primarily affecting the heat requirements of a greenhouse are:
1. The external environmental condition
2. The size of the greenhouse.
3. The structural nature of the greenhouse.
4. The number of layers of glazing material used to cover the house.
It is useful to know some heat loss calculation procedures to predict heating loads and identify areas of the greenhouse with the most heat loss. Heat loss by conduction may be calculated with the following equation.
Q = U A (Ti - To)
Where: Q = heat transfer rate, BTU/hr.
U = heat transfer coefficient, BTU/hr.-ft.2 F
A = surface area, ft.2
Ti-To = air temperature difference between inside and outside, °F.


The temperature of the Greenhouse system is detected using a heat sensor and values will be calculated and managed as follows;
 Let T1 be the initial temperature entered into the system by the user
Let T2 be temperature detected by the heat sensor
Let K be value by which the temperature is to be changes either -/+ vely

            If T1 = 21°C and T2 = 28°C
Since T1<T2 therefore T1 – T2 = -7°C which we will now call K
Therefore K + T2 = T1 hence normalizing the value

3.2.4.2.2        Humidity Module
Healthy plants can transpire a lot of water, resulting in an increase in the humidity of the greenhouse air. A high relative humidity (above 80-85%) should be avoided because it can increase the incidence of disease and reduce plant transpiration. Sufficient venting, or successively heating and venting can prevent condensation on crop surfaces and the greenhouse structure. The use of cooling systems (e.g fan) during the warmer months increases the greenhouse air humidity. During periods with warm and humid outdoor conditions, humidity control inside the greenhouse can be a challenge. Greenhouses located in dry, dessert environments benefit greatly from evaporative cooling systems because large amounts of water can be evaporated into the incoming air, resulting in significant temperature drops.
Since the relative humidity alone does not tell us anything about the absolute water holding capacity of air (we also need to know the temperature to determine the amount of water the air can hold), a different measurement is sometime used to describe the absolute moisture status of the air: the vapour pressure deficit (VPD). The vapour pressure deficit is a measure of the difference between the amount of moisture the air contains at a given moment and the amount of moisture it can hold at that temperature when the air would be saturated (i.e., when condensation would start; also known as the dew point temperature). A vapour pressure deficit measurement can tell us how easy it is for plants to transpire: higher values stimulate transpiration (but too high can cause wilting), and lower values inhibit transpiration and can lead to condensation on leaf and greenhouse surfaces. Typical VPD measurements in greenhouses range between 0 and 1 psi (0-7 kPa).
3.2.4.2.3        Light Module
Light is the most significant parameter for the plant development and life. All the active life process in it can be achieved only in the presence and active influence of light. When speaking about natural light, meaning solar light, it is necessary to distinguish:
Solar radiation with specific influence to the life processes of the plants, and solar radiation with energy related influence to the plants, directly or indirectly through the influence of the environment. By the use of different scientific methodologies and investigations of changes in photosynthetical, phototropical, photomorphogenical and other plant activities, it is found that only the part of total solar spectrum between 400 and 700 nm influences significantly plants life processes (Figure 3C). That determines the quality of transparent materials for greenhouse cover– it must be maximally transparent to this part of the solar spectrum.
FIG 3C: Sunlight Requirements for optimum crop growth

Investing in movable shade curtains (Figure 3D) is a very smart idea, particularly with the high energy prices we are experiencing today. Shade curtains help reduce the energy load on your greenhouse crop during warm and sunny conditions and they help reduce heat radiation losses at night. Movable curtains can be operated automatically with a motorized roll-up system that is controlled by a light sensor. The curtain materials are available in many different configurations from low to high shading percentages depending on the crop requirements and the local solar radiation conditions. Movable shade curtains can be installed inside or outside (on top or above the glazing) the greenhouse. When shade systems are located in close proximity to heat sources (e.g., unit heaters or CO2 burners), it is a good idea to install a curtain material with a low flammability. These low flammable curtain materials can stop fires from rapidly spreading throughout an entire greenhouse when all the curtains are closed.
FIG 3D: Illustration Of Movable Shade Curtains
The light control module is going to calculate and keep light at an optimum value as shown below;
If A klx detected by photo resistor is greater than 38klx then 38klx – A klx = -B klx
B klx is then added to 38klx, thus (38klx + (-B klx)) to maintain the optimum light intensity.
3.2.4.2.4        Irrigation Module
Water is a very important factor for optimum crop growth and productivity, when there is lack of enough water for crops to use, this will result in wilt hence death of crops. However when water is in excess and crops get logged, some plants will die as a result, there will be an increase in crop disease and infections.

To manage this we are planning to use a soil moisture sensor, Soil moisture can be detected by an electronic circuit based on a capacitive probe. The principle of this capacitive probe is thus based on the variation of the capacity via its permittivity. The circuit conditioner consists of an NE555 astable multivibrator followed by a LM2907N frequency-voltage converter (Vout5 = fIN x VCC x P2 x C4). It is sufficient to measure the output voltage of the circuit conditioner to estimate the amount of watering). Depending on the ground hydrous state, a solenoid of the irrigation station is opened automatically when the Vout5 voltage exceeds 4 V (dry soil) and is closed also by SMS when Vout5 reaches 2 V (wet soil) as shown (figure 3D)
FIG 3E: Illustration of the soil detection circuit




3.3 System Testing and Validation

The software and hardware design of the system shall be integrated as a whole to provide the required functionality of the proposed system.

3.1.2 Testing

Testing will involve running the system with the intention of discovering deviation from required functionality.
Faults and bugs found in the system shall later be removed and the system retested to find out if removing the bugs fixed the error or introduced new errors in the system. This process will repeated continuously until no more errors are in the system.

3.2.4.3  Glass-box testing
We are going to carry out glass box testing. This is because we are the developers of the Automated Greenhouse System and therefore are having access to all the source code that we can edit to remove bugs and change functionality appropriately.

3.2.4.4  Module Testing
The Automated Greenhouse System is composed of 2 main modules that is the Control and Environment module. The Environment module contains 4 sub-modules that is the temperature, light, humidity and irrigation modules. Each module of the system shall be completely tested for errors and bugs which will be removed to avoid system failure. Testing shall be repeated until no more errors or bugs are found in the modules.
3.2.4.5  Integrated Testing
Each module of the system shall be completely tested for errors and bugs which will be removed to avoid system failure. Testing shall be repeated until no more errors or bugs are found in the modules. The different modules of the system shall now be integrated together as a complete system and tested to determine whether they can interact together and provide functionality required by the system before implementing the system.



3.2.5    Validation
Validation shall be carried out to ensure that the system meets its defined specifications such as the functional and non-functional requirements, documentation controls like user manuals.



4.0 References

[1] H.S. Paris and J. Janick “What the Roman emperor Tiberius grew in his greenhouses” Internet: http://www.hort.purdue.edu/newcrop/2_13_Janick.pdf [April 1 2013].
[2] “Planning and Building a Greenhouse” Internet: http://www.wvu.edu/~agexten/hortcult/greenhou/building.htm [April 2 2013].
[3]John Brittnacher*. “Growing Nepenthes” Internet:http://www.carnivorousplants.org/howto/GrowingGuides/Nepenthes.php [April. 1, 2013].
[4] Aaron Ellison, Nicholas Gotelli, J. Stephen Brewer, D. Liane Cochran-Stafira, Jamie Kneitel, Thomas Miller, Anne Worley, and Regino Zamora “The Evolutionary Ecology of Carnivorous Plants” Internet:http://www.uvm.edu/~ngotelli/manuscriptpdfs/AER2003.pdf, [April 2, 2013].
[5] Zabeltitz, C. von. Integrated greenhouse systems for mild climates climate conditions, design, construction, maintenance, climate control. Berlin, Germany: Springer, 2011.
[6] Straten, G. van, and Willigenburg, G. van, and Henten, E. van, and Ooteghem, R. van. Optimal control of greenhouse cultivation. Boca Raton, FL : CRC Press, 2011.
[7] Verlodt, H., and Mougou, A., & (Ed.). International Symposium on Simple Ventilation and Heating Methods for Greenhouses in Mild Winter Climates : Djerba, Tozeur, Tunisia, February 28-March 6, 1988. Wageningen, Netherlands : International Society for Horticultural Science,1988.
[8] Bailey, B.J. Wind driven leeward ventilation in a large greenhouse. Retrieved from http://www.actahort.org, 2000.
[9] H. Joumaa, S. Ploix, S. Abras, G. De Oliveria, “Energy Procedia,” A MAS integrated into Home Automation system,..., vol. 6, pp. 786-794, 2011
[10] Dr. F. Yildiz, Dr. D. Fazarro, K. Coogler, “Journal of Industrial Technology,” The Green Approach: Self-Powered..., vol. 26 #2, April 2010 - June 2010
[11] Rangan, K.; Vigneswaran, T.; , "An Embedded Systems Approach to Monitor Green House," Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010 , vol., no., pp.61-65, 13-15 Nov. 2010 doi: 10.1109/RSTSCC.2010.5712800
[12] Gomez-Melendez, Domingo,. “Fuzzy Irrigation Greenhouse Control System Based on a Field Programmable Gate Array,” in African Journal of Agricultural Research. vol 6. June 2011, pp. 2544-2557. Doi: 10.5897/AJAR10.1042
[13] Nugroho, Andri. Okayasu, Takashi. Fushihara, Hajime. “Development of Intelligent Control System for Greenhouse”. Kyusha University.
[14] “TVS/Zener Device Data On Semiconductor," May 2001, Semiconductor Components Industries, LLC (SCILLC). [online] Available http://ae6pm.com/Semidata_books/Motorola/DL150-D.pdf [Accessed: April 30th 2013]




5.0 APPENDICES


Appendix 1: Budget for the system
Item
Quantity
Price (UGX)
Arduino Board
1
180,000/=
Emergency reserve
1
70,000 /=
LED
8
1,000/=
Buzzer
1
2,000/=
Wires
20
10,000/=
Dry cell
2
1,000/=
Photo resistor
1
5,000/=
Thermostat
1
5,000/=
Airtime

20,000/=
Resistors
4
20,000/=
Breadboard
1
15,000/=
Refreshments

50,000/=
Shipping costs

50,000/=
Pump
1
150,000/=
Soil Moisture sensor
1
80,000/=
Total

650,000/=





















Appendix 2: Questionnaire to Green House Managers
1.                  How big is your green house or what square meters does your green house cover?
………………………………………………………………………………………………………
2.                  What challenges do you face in the daily running of the green house?
………………………………………………………………………………………………………
3.                  How much labor force do you require to run the green house a week?
………………………………………………………………………………………………………
4.                  How often do you irrigate the green house in a day?
………………………………………………………………………………………………………
5.                  How often do you change the plants in a green house?
………………………………………………………………………………………………………
6.                  What kind of plants do you plan in the green house?
………………………………………………………………………………………………………
7.                  Do the plants in the green house fully depend on the sunlight?
………………………………………………………………………………………………………
8.                  How often do you check on the plants in a green house as a daily routine?
………………………………………………………………………………………………………
9.                  Have you ever experienced a fire out break in a greenhouse?
………………………………………………………………………………………………………
10.              What is your suggestion about the introduction of a system that can manage a green house for you?
……………………………………………………………………………………………………………………………………………………………………………………………………………....







APPENDIX 3: AUTOMATED GREENHOUSE SYSTEM PROJECT TIMELINE
TASK
YEAR 4 SEMISTER 1
BREAK
YEAR 4 SEMISTER 2
CONCEPT PAPER WRITING
9/8/2014 to 9/15/2014
-
-
PROPOSAL WRITING
9/30/2014 to 10/28/2014

-
-
REQUIREMENTS FOR AGHS GATHERING
10/30/2014 to 11/14/2014
-
-
SYSTEMS REQUIREMENTS DOCUMENTATION
4/11/2014 to 21/11/2014
-
-
SYSTEMS REQUIREMETS PURCHASING AND PROTOTYPING
-
4/01/2015 to 10/02/2015
SYSTEMS DESIGN DOCUMENTATION
-
-
10/02/2015 to 2/03/2015
SYSTEM DESIGN AND IMPLEMENTATION
-
-
5/03/2015 to 22/5/2015
SYSTEM TESTING AND VALIDATION
-
-
24/5/2015 to 10/6/2015


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