In work Jha Kumar Joshi Pandey 2017 the authors proposed an

In work (Jha, Kumar, Joshi, & Pandey, 2017) the authors proposed an IoT based system which would give live soil dampness, humidity and temperature of the field to farmers. An individual would have the option to take a brief activity to deal with the recorded dependent on the information got from field. An Arduino Microcontroller board with soil, temperature and humidity sensors are utilized to gather the information from the documented on the fly from a remote field. The information once got are examined and discussed. For the proposed model Temperature, Humidity and Soil dampness sensors were sent on Arduino microcontroller board. The board through a radio model was then associated with the framework where a code was composed to store and screen the information. The architecture is with the end goal that the with a tick of a catch a farmer ought to have the option to not just screen the information yet in addition make opportune move. A farmer would himself have the option to check various parameters. This work according to the authors is summoned to take a preventive measure for misfortune of harvest and furthermore increment the profitability of yield.(Kumar, Surendra, Mohan, K, & Kirthika, 2017) Proposed work on a water system that manages and gives remedial measures in the mismanagement of water in the field of agribusiness through the use of a regression algorithm. Internet of Things which assumes a pivotal role helps in the accumulation of ongoing information and procedure the framework to most extreme exactness. The regression algorithm makes a difference in estimating the measure of water required for water system. Along these lines, the tank is independently filled by initiating the engine to work. The proposed framework likewise diminishes human endeavors and vitality. Individuals can get moment access to the homestead through versatile application. The unwavering quality of the framework is too expanded by monitoring the working states of the segments included. Subsequently, the proposed robotized keen water system in the field of agriculture improves the field production and furthermore avoids wastage of water.(Shylaja & Shylaja S, 2017) Developed a soil nutrient analysis system utilizing Wireless Sensor Network (WSN) which empowers different application like remote checking of soil fertility, analysis and gives recommendation of crop and irrigation support system. In the proposed framework, the remote sensors measure the full scale supplement of soil what’s more, transmit the information to the cloud. The client can see the soil fertility at the comfort on their versatile application. It is conceivable that the rancher may wish to grow a particular harvest based on the monetary intrigue. The product framework has the knowledge to prescribe the nutrients that are required to be utilized to suit the requirements of the ideal harvest, in this manner improving the nature of the fertility thus, increment the yield. The remote sensor system actualized for investigation of soil supplements gives an efficient plan to gauge the supplements of soil. This framework consistently observed and detailed the NPK estimations of soil of the land. The continuous estimation and transfer of soil supplement information onto the cloud was accomplished. A product framework effectively showed current estimated NPK values and gave compost suggestion for growing an ideal yield. By and large, the proposed framework encourages ranchers to assemble continuous data about different soils, their fruitfulness level, propose yields and manures at the accommodation of the portable application. The authors advocate that the proposed system will help farmers to settle on the correct choice, increase better yield and financial advantage.(Rao & Sridhar, 2018) Developed a Precision Agriculture (PA) irrigation system with low circuitry complexity that uses two sensors (temperature and moisture) interfaced with an IoT based Raspberry pi microcontroller. The main aim of the system is to improve crop productivity with low water consumption. The two sensors are utilized to control the irrigation system. The system sets threshold voltages considering the past soil moisture and temperature readings. They may be varied according to the crop and plantation. Through this approach an irrigation system can be completely automated. The developed system is said to help farmers with real time information about their lands and crops in order to make the right decisions. The said system also advantageous as it optimizes the usage of water fertilizers and maximizes crop yield while also helping in analyzing the conditions of the field. The authors further go on to state that their work may be extended by introducing machine learning algorithms to process the data and minimize the hardware complexity.(Changmai, Gertphol, & Chulaka, 2018) Developed an IoT based Smart Hydroponic farm to compare its merits over the regular hydroponics farms. The authors chose lettuce for testing. The developed smart farm monitors the growth environment and adjust nutrient solution, humidity and air temperature automatically depending on the conditions. The system used an Arduino Mega 2560 as the main control module with a Wi-Fi access point and an ESP8266 for Wi-Fi interface. The Arduino was communicated with a server that was developed and the server was deployed on a PC that connected to the Wi-Fi network. The results from the smart-farm showed that the lettuce from the farm had more leafs and wider stems compared to regular farm, hence they concluded that the overall quality of their produce is moderately better that that of regular farms. For future works the authors plan to use the collected data to create a prediction model for lettuce growth and yield.(Carri´on, Huerta, & Barzallo, 2018) Presented a low cost and power system that measures, monitors and automatically irrigates an urban garden using Internet of Things (IoT) technology. The system composes of three system being the mechanical, electronic and communication subsystems which also compose of carbon dioxide, temperature, humidity, detection of plants and luminosity sensors for remote monitoring and are all connected to a local area network. The system after taking all necessary reading creates a database set about environmental conditions, soil and crops for each user in case of multiple users for monitoring their gardens. In order for a farmer to access the information about their garden he logs in a web page application that will direct him to the full report on the state of the garden.(Rashmi R & Gaikwad, 2017) Proposed an automatic irrigation and crop security system in agriculture using Internet of Things that works by collecting, analyzing and monitoring real time sensor data such as humidity, temperature, PIR and soil moisture. The proposed system is supposed to take values every ten seconds from the environment and soil in order irrigation and crop security performance will be monitored automatically depending on the set threshold values. Threshold values have to be set for each soil variety as different variety of soils have varying water level demand. The system considers the level of water in the tank and soil moisture for automatic irrigation. For security purpose the system has a buzzer and scare crow that work hand in hand with a PIR sensor for detecting an object. The said system can be used by small scale farmers. The authors advance that the system has achieved ninety percent accuracy while they tested the prototype as well bringing notable gains such as saving water, money, crop security and soil and crop surveillance. The authors however are limited by the lack of use of the camera module to capture images detected by the PIR sensor and the use of sensors to detect the quality of soil to automatically dispense fertilizers.(Mhalakshmi, Priyanka, Rajaram, & Rajapriya, 2018) Designed and developed a low cost automatic irrigation system that is powered by solar energy using IoT. The aim of the project was to address the problem of water scarcity and power problem through the design and implementation of a smart irrigation system. The system uses simple link Wi-Fi module for connecting all the hardware to the internet as well as MQTT server for overseeing the entire system. The proposed system which is solar driven uses air humidity and soil moisture content and irrigates the field according to the appropriate water requirements of the crop. The measured humidity, temperature, water level and moisture are received at the end user via MQTT Dash app from the sensors at the field end where from thereon the farmer can monitor and control the irrigation of the field remotely. The results from the system indicate that through the concept of IoT along with cloud infrastructure, the water consumption is reduced to nearly thirty percent and water wastage to fifty percent and hence an increase in net yield of crop production. The authors state that the system also minimizes human intervention as compared to the traditional means.(Fares Taha, A, Awadalkareem, Mysoon Omer S, & Razan Saadaldeen, 2018) Presented design and implementation of a greenhouse monitoring and control system using Internet of Things. The proposed framework gathers the greenhouse parameters, for example, temperature, relative moisture, and light intensity and moves it to a Raspberry pi go about as a server progressively based on Internet of Things innovation. This framework made out of sensor nodes unit, gathering and controlling unit, observing unit, and activating unit. The server collects all gathered data and forwards it to the internet via MQTT protocol and compares it to appropriate growth parameters and if any changes occur the server sends frame to the actuating unit to perform an action depending in that. The analysis trial of this framework permits conveyed observing, gives increasingly precise control of yield conditions, the information can be available in the web from anyplace, and diminish the human intervention. Further work, measure all the nursery parameters. This framework is proven to be increasingly precise, basic, less utilized of complex circuit, and exceptionally adaptable and open to advance improvement. With its remote control capacity, it empowers clients to deal with their farms without confinement of time and spot, as long as internet association is accessible.(Boobalan, Jacintha, Nagarajan, Thangayogesh, & and Tamilarasu, 2018) Presented an IOT based agriculture automation system which is implemented using Raspberry pi. The fundamental aim of the project was to analyze the soil moisture level and introduce automatic irrigation system to the fields. This framework also measures humidity, temperature and to identify if there are any hindrances in the concerned region and to diminish the human interaction for complete mechanization of the framework. The proposed framework comprise of Raspberry Pi, different sensors, Pi camera and engine driver. The pi camera catches the video and forwards it to cloud through Raspberry Pi .Here. The soil moisture sensor identifies the moisture level and floods the different harvests in the controlled manner. On the off chance that any variety in dampness level is detected then the sensor will refresh the watched an incentive to the microcontroller and store in the cloud. The moisture level of the modern territory is recognized utilizing the Temperature and Humidity sensor and move it to cloud through Raspberry Pi. The PIR sensor detects the section of hindrances in the confined territory and updates it to cloud. The client can acquire these information’s from cloud by means of a mobile. Based on these information’s the client can control the activity of the motor by passing the direction YES/NO through engine driver. The project however is limited as it currently can’t be extended for features such as power control and surveillance

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