Intelligent Greenhouse Management Systems (IGMS)

Developed on the weaknesses of an Intelligent Greenhouse Management Systems (IGMS) which include tedious system configuration, lack of support for wireless mesh networking and rigid and un-expandable to improve agriculture production utilizing key components of data, innovation and management. The authors compared the efficiency of the scheduled and automatic irrigation system in a greenhouse environment. In their results they indicate that their automatic irrigation that uses Wireless Sensor Networks is more efficient compared to the scheduled irrigation. They further go on to suggest that an automatic irrigation system can improve the usage of water and fertilizer resources and retain the soil moisture level and health of the plant.

(Zhang, Chen, & Wang, 2014) Proposed an IoT based architecture system that can collect information in real-time about wheat diseases, weeds and pests, and also provides the services of prevention and smart diagnosis. The authors further go on to say state that the system will consist of a data acquisition system that includes air temperature and humidity sensor, soil moisture sensor soil temperature sensor and carbon dioxide concentration sensor, equipment remote control system, information transmission system, data processing system and expert system.

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The framework shown to not just analyze and predict the event of wheat diseases, weeds and pests yet in addition gave decision consultation

(Rajalakshmi & Mahalakshmi, 2016) Presented a system of crop-field monitoring and irrigation automation that is based on IoT that is aimed at reducing water consumption. The system also needs minimal maintenance and reduces power consumption. The system is also based in a greenhouse.

The system uses an Arduino microcontroller and field sensors (temperature and humidity,light and soil moisture,), solid-state relays as switches. As this system is automated, if the light and moisture conditions are below threshold the light and motor will be turned on automatically until the threshold is met. It was shown that the through system the there is an increase in crop productivity and the wastage of crops is reduced using this irrigation system. The author further plan on using a mining algorithm to predict the water requirement in order to help supply the required water amount to the crops.

(Kapoor, Bhat, Shidnal, & Mehra, 2016) Advanced an approach to combining IoT and image processing to evaluate the environmental or man-made variable (pesticides / fertilizers) that specifically impedes the plant's production. The authors go on to state that it is realized that temperature, moistness, soil dampness and light force lead to inconspicuous to different changes in the soundness of the plant. The morphological changes that a plant experiences is caught and broke down on the MATLAB programming utilizing the calculations to land at the outcome. The entire procedure of catching the picture alongside the essential natural components are done without a moment's delay utilizing the loT detecting system and the information is nourished onto the SD Card for further investigation. The particular segments that are utilized in the loT detecting system are Soil Moisture sensor, DHTII (Temperature and Humidity sensor), Serial JPEG camera module (To catch picture at customary interims) and SD Card.

The arrangement of sensors and the picture preparing camera collected on an Arduino UNO. The program is written in the Arduino language which first actuates the sensors to be specific the dirt dampness and the DHTll sensor and hence catches a depiction of the plant and stores in the SD Card. The results indicated that here some level of mechanization is accomplished as far as catching pictures in ordinary interims. Additionally the status of the earth is consistently checked and refreshed. This offers ascend to the plausibility of consistent observing of the fields and the natural factors. The Part detecting system so settled can without much of a stretch be mounted on a meanderer or even an automaton to screen and gather information of the field all the time. This will enormously help the ranchers as they can't be on their field all day. Given the natural factors under perception, therapeutic measures can be taken. The wanderers can have the particular measure of pesticides, composts ready. The degrees of the minerals in it the dirt is figured utilizing the procedures so portrayed. In light of these readings, the imperative measure of minerals can be put on the dirt.

(Vatari, Bakshi, & Thakur, 2017) Presented a system to design an algorithm which solves the problem of unequal distribution of rain water which will determine present environmental conditions. The proposed IoT system includes of an IoT input device, IoT cloud, and IoT output device. The input devices will have modules attached that can sense various physical conditions (light, humidity and carbon dioxide control ) and will be able to upload. According to the authors as per the necessity of the harvests the edge will be set, if the is any natural condition like temperature, soil conditions what's more, mugginess goes beneath or over the edge esteem, at that point IoT its sense the changing in parameters are observed at the same time and every one of the information will be transmitted to ranchers, as per that farmer will take the controlling choice and send to the framework.

The framework will run the actuator and control the parameter. The authors state that Internet of things and cloud computing on the whole makes a frame word attain to the cloud. Output devices will be able to download data from the cloud and will have various modules to display the data that control greenhouse adequately. This framework will detect all the ecological parameter and sends that information to the client by means of cloud. Client will make controlling move as per that this will done by utilizing actuator by utilizing this framework. This advantage enables the farmer to improve the development in a manner the plants need. The proposed system is thought to prompt higher harvest yield, delayed generation period, better quality, and less utilization of defensive synthetic concoctions.