AI Based Crop Monitoring Using IOT

Abstract

Abstract: An amalgamation of agriculture and technology is apressing need of the 21st century. Most local farmers in the state of Maharashtra are not yet privy to advanced methods which can yield much better produce. This study focuses on cumulationof diverse agricultural components like the crops, plant fitness, climatic elements, hazards, and irrigation. There are so many determinants in the field, we have used of Internet of Things, Wireless Sensor Networks and Machine Learning(ML) algorithm technologies. Through IOT and WSN, we have used sensors for collecting plant information further utilized for tracking andpredicting crop and weather parameters. Weather forecasting and the potato plant (disease) identification are done via Con- volutional Neural Networks with the assistance of datasets. The results obtained include identifying if Blight disease occurs on thepotato plant, automatic irrigation when soil moisture level drops,remote crop monitoring, weather forecasting, etc .The notion isto help people in the farming industry to boost their methods andprovide modern cultivation strategies which are not expensive, tedious and inconsistent. Index Terms: Iot, web app, cloud storage, Ml Algorithm,smart farming, weather data and weather forecast.