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CROP RECOMMENDATION SYSTEM

, Tusharpangare ., Sujithingane ., , Rohandhore ., · International Journal of Engineering Applied Sciences and Technology · 2022

: Encouraged to enter In general, agriculture is the backbone of India and also plays an important role in the Indian economy by providing a certain percentage of domestic products to ensure food security. But now-adays, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for sowing reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction. Random Forest, a machine learning algorithm puts forth in the way to achieve it. The seed data of the crops are collected here, with the appropriate parameters like temperature, humidity and moisture content, which helps the crops to achieve a successful growth. In addition to the so Gware, a mobile application for Android is being developed. The users are parameters like temperature and theirs oil condition will be taken automatically in this application in order to start the prediction process.

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