Expert Recommender System for Mapping Optimum Crop Type

Background: Over the centuries many revolutions have happened, lot of innovations took place, several discoveries changed way world would been, these may be credited to discovery paper, compass, steel, steam engine, anti-biotics, lenses, transistors, electricity, or computer. Civilizations evolved but, in every era, agriculture played a major role fueling prosperity nation and establishing its growth. Agriculture India provides livelihood almost about 60% India’s population. Percentage contribution allied sectors gross value added for at present prices stood 17.8% 2020. Investment through consumer should grow 2021, post losses due COVID-19 contraction. Food sector is set huge growth owing immense potential diversity addition. processing contributes approximately 32% total market share, supposedly one biggest stands fifth terms production, consumption, export expected Methods: Farming as vulnerable investment dependency on diversified geographical locations, environmental conditions pest attacks, it prime importance devise technological assisted methods monitor provide early remedial actions damage infections crop. Work proposed an effort increase yield farmer otherwise have; system implements recommender by sensor data weather prevailing suggest ideal crops sown region. Model acquires data: moisture content, rainfall estimated, NPK content soil, temperature Ph soil addition climatic region recommending suitable Result: estimated required parameters employing calibrated sensors from maize farm government prediction platform, crop gave us small window six months June November conduct experiment, site selected was Safedabad, Lucknow (U.P.) classification achieved random forest algorithm trained labeled dataset which accuracy 96%, testing when fed model output with 93%.