Abstract— The modern world mandates smartagriculture system for nation’s economic growth. Monitoring the farm andinforming relevant information to the farmers. Deploying a monitoring devicewith integrated sensors for real-time monitoring of farm.
Informing the farmerthrough wireless hand-held devices about the processed information. Employingadvanced communication and computing technologies for the smart real-time farmingsystem. Keywords— Monitoring, eco-friendly, real-time monitoring, wirelesshand-held devices, computing technologies Introduction Agricultureis indispensable for human survival and nation’s economy.
By employing IOTconcepts the proposed system monitors the field, developing farmer’s economy maintainingsoil fertility. With sophisticated and integrated ideas we develop a real-timesmart farm monitoring system. A smart real-time farm monitoring system byemploying IOT concepts to enhance crop productivity. The main aspects toconsider are plant growth, soil and human health care.
Currently, smart farmsystems control the irrigation system and motors. They inform the farmers withmobile and web application. For rural area farmers providing required real-timeinformation, we design an indicator device. Deploying the monitoring device formonitoring soil moisture, environmental temperature, soil nutrient content,soil temperature and pH content. For rural area farmers deploying a smartindicator device to convey the information.
We also develop a mobileapplication for urban farmers with more facilities. To develop a simple smartfarm monitoring system for rural and urban area farmers. We deploy this systemmore cost-efficient and commercial. We develop the monitoring and indicatordevice along with a mobile application. 2.Monitoring Device Themonitoring device consists of required sensors integrated with Arduino and tinycameras.
Placing the device in the field with part of the device is under thesoil. For wireless long-distance wireless transmission, we use Radio Frequency module. The device monitors the soiltemperature level, soil moisture content, light illumination to the plants,temperature, and humidity of the environment, soil pH content and otherchemicals contents(i.e.
soil nutrients). We connect this device to the localserver for processing the data. Arduino governs the monitoring andcommunicating processes in the field. For large acres of field and highaccuracy rate, placing more devices inthe field is the better option. Providing every farmer with a unique IP address, we achieve efficient transmission and computation.
All the nodes in the farm of the same farmer will have the same IP address.While deploying the device, the parameters considered are environment-friendly and easy-to-handle. In ploughing and harvesting periods, the farmers can handle them with ease.
Powersupply for the device, we use solar cells. We deploy the device with simplehandling during harvesting, ploughing periods. Additionally, for efficientwater irrigation, we can connect water irrigation system. Fig1.13.
Indicator device We design a smart indicator device to assist the ruralfarmers. Deploying a smart indicator device for conveying the processedinformation. In countries like India, this device helps them by alert, colour and level signals with the display screen. Based on farm monitoring, real-time price monitoring,climatic changes, manures, fertilizers,and Government schemes the device works. This hand-held device is simpler touse which runs on long-lasting batteries. The device and the server communicate through WiFi router.
With unique IPaddress, the device connects to the server.Even in remote areas, this system works better. Supporting rural farmers forbetter productivity is our main goal. It is cost-efficient and easy-to-handle.A cross-platform mobile application is also developed to support young smartfarmers.
Long-lasting batteries are the power supply of the indicator device.In future, we can extend more features which will discuss later. 4.Mobile Application Wedevelop a cross-platform mobile application with advanced features. Theapplication connects to the server through unique IP address.
We convey the retrievedinformation to the farmers based on real-time processed data. Based on thestatistical analysis of data we provide the information. The informationexchanged are climatic factors, plant details, soil varieties and real-timepricing. The application conveys the information through push notifications,alarms, and messages. Government schemes, soil and plant information areadditionally provided to them.5.
Local server: Itis the backbone of the proposed system. The localserver connects to a monitoring device, indicator device, mobileapplication and cloud server. We maintainservers in the internet accessible areas.
Processing the sensed data andcommunicating the information to output devices.Through Radio Frequency Module the monitoring device communicates the server.Raspberry Pi 3 model B is a base part ofthe server. Working involves processing,sending data to a cloud server, andcommunicating the receiving devices.
Fordata processing with trained datasets, weneed cloud servers. At the backend, we focus on framing databases from theanalysis of gathered information.Collected information from the servers, we frame the database and maintain it.
For advanced farming in future, wemaintain the database. For a long period of analysis of collected data, weframe the database. Framing the database based on location, climatic changes,soil and plant varieties, field factors, sensed data, and farmer’s interest.
To guide them by displaying theprocessed information. Information iscategorizing the plant varieties that suites that location, soil, climaticconditions, huge profit, better marketingprice and other essential information. Itis the main aim of our smart farming system. Based on unique IP address theoutput devices retrieves the information.
Fig1.2Both Cloud storage and computing is essential for thissystem. Flower blossoming, fruiting, plant diseases, rodent alerts are providedfor real experience. Tiny cameras in the monitoring device capture the images. By image processing conceptthe alerts are provided. Cloud server process the collected data with trained datasets.
It transmits the information to theprimary local server. Collaborative work of cloud servers provides real-time information to farmers. 5. Working System Fig1.3The system involves sensingsoil and environment factors through monitoring remote node. The data is sentto the local primary servers through wireless RF module.
For longer andefficient wireless transmission we use RF module. Local servers process thedata and share them to cloud server for further processing.Combined cloud servers are employed for multi-functionality and efficient performance. It processesand analyses the data withtrained-datasets. Real-time information and suggestions are provided to thefarmers.
Through mobile application and indicator devices, we inform them. For high accuracy rate, a number of devices are employed in the field.With unique IP address, the outputdevices retrieve the information. Regularexamining of soil and environment increases accuracy percentage. Examining thesoil at regular intervals doesn’t cause harm to the soil. This system informsthe farmer farming related suggestions, government schemes, sensed information and real-time pricing ofcrops.
Ultrasonic bird and insect repellent with automatic water control systemcan be provided. This system governs the water sprinkling to plants by sensingwater level. To alert the farmers about canals and about water levelinformation is also employed. Fig 1.46.Future EnhancementsThe smart indicator device can extend with features includes voice support.
This feature acts asan assistant which answers to the relevant questions by the farmers.Maintaining large database based on real-time pricing of crops, soil andenvironmental factors better farming. Wecan inform farmers about environment-friendlymanure for a healthy environment, anddifferent seed varieties. 7. Description In the proposed system we use IoT concepts.
Cloud computing, Machine learning,and Big Data analytics are the advanced technologies used. To develop thereal-time smart farm-monitoring system we blend the advanced concepts. Pythonis used for the coding purpose. Forserver purpose, we use an open source web server. The application is developed for Android.A huge amount of data is analysed inservers.
The entire proposed system comprised of two devices, local servers,cloud servers, and with a mobile application. Our main concept is to help thefarmers and nation by constructing eco-friendly, commercial system. Combinationof multiple ideas and concepts are integrated intofor a better performance.
It is simpler and most economical. A cost-efficientsystem is proposed with better quality and higher performance. To guide farmers to increasing plant productivitywhich further increases nation’s economy is a baseidea.
Implementing innovative and integrated concepts results in abetter and smarter farming.