Evaluate the Growing Demand for and Adverse Effects of Pesticides and Insecticides on Non-Target Organisms Using Machine Learning

Agriculture production depends on pesticides despite this scientists are tried to reduce the use of pesticides. Scientists are enhancing efforts to create a method for obviating pesticide use instead of efforts day by day that agriculture is dependent on pesticides. Due to regular use, the pesticides contaminate ecosystems and they also affect non-target organisms such as humans, and animals including earthworms. In this paper, the author works with a highly effective machine learning approach for classifying pesticide consumption and insecticide consumption on the crop every year and its side effects on non-target organisms. The insecticide is a type of pesticide. K-Nearest Neighbor (KNN) is used to classify both insecticides and pesticides. It fetches maximum features from the data set to get high output with minimum time.