Machine Learning Based Crop Prediction

Abstract: Farmer productivity can be increased with the use of the intelligent instrument known as the Integrated Agricultural Intelligence System (IAIS). To provide customized guidance for various crops, it leverages cutting-edge technology and data analysis. To determine crop health and offer recommendations, IAIS monitors temperature and soil nutrients (NPK levels). In order to assist farmers in understanding the effects ofweather on their crops and modifying their operationsaccordingly, it also makes use of rainfall data. IAIS correctly detects crops using sophisticated algorithms and recommends tactics according to their requirements. Italso assesses the different kinds of fertilizers and suggeststhe best application based on temperature and NPK levels.In order to help farmers use resources more effectively, increase yields, and practice sustainable farming all of which contribute to food security IAIS uses machinelearning to provide timely insights.

Keywords: Integrated Agricultural Intelligence System (IAIS), NPK levels, Soil nutrients, Fertilizers, Sustainable farming, Sophisticated Algorithms.