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Intelligent Farming System With Weather Forecast Support and Crop Prediction

Udit Shandilya, Vidhi Khanduja

20202020 5th International Conference on Computing, Communication and Security (ICCCS)20 citationsDOI

Abstract

Agriculture has been a primacy of the Indian economy. Even though it is a main source of income for a majority of the Indian population, it still stands technologically backward. To quash the problems of farmers, the proposed system helps employing a smart irrigation system in the field of agriculture. In the proposed system, we have used state-of-the-art technology to provide the water to the agricultural field based on the soil moisture value, which is detected using IoT sensor. The information received by the sensors is sent to the micro-controller. The system is activated using the mobile application, this can be accomplished with the help of ON/OFF buttons provided in the application. Also, this system when switched to automatic, it irrigates the field to a particular threshold soil moisture value when the soil moisture is low. The pump is switched ON based on the moisture content. Further, the system also provides data of the previous year's crop production in a particular area and weather forecast through an android application. This application also provides information about the latest agriculture advice, Government schemes for farmers, latest market prices, various farming tips in regional language.

Topics & Concepts

AgricultureAgricultural engineeringWater contentIrrigationPopulationAndroid (operating system)Precision agricultureEnvironmental scienceSoil moisture sensorComputer scienceMoistureMeteorologyEngineeringGeographyAgronomyArchaeologySociologyBiologyDemographyOperating systemGeotechnical engineeringSmart Agriculture and AIWater Quality Monitoring TechnologiesFood Supply Chain Traceability
Intelligent Farming System With Weather Forecast Support and Crop Prediction | Litcius