Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers
Keywords:
Soil Series, Machine Learning, Data Mining, Chemical Features, PredictionAbstract
Agriculture is the heart of many countries and soil is the main important element of agriculture. There are different soil kinds and each kind has different features for different crops. In this field, now a day’s different methods and models are used to increase the quantity of the crops. So the main purpose of this system is to create a model that helps farmers to know which crop should take in a particular type of soil. In this system, we are using machine learning techniques which help to suggest the crops according to soil classification or soil series. The model only suggests soil type and according to soil type it can suggest suitable crops. In this, different classifiers are used and according to that the model suggests the crop.
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