An effective crop recommendation method using machine learning techniques
Unknown authors
Abstract
In recent years, there have been drastic climatic changes occurring because of global warming [58].The selection of inappropriate crops has a tremendous impact on farmer's hopes and dreams because it uses up all available resources (such as the cost of seeds, fertilizers, etc.Using machine learning (ML) as a key technology, traditional farming can be reshaped.This research aims to introduce ML-based crop suggestion system for farmers, hoping to use this information to produce more productive and higher-quality crops with less waste.ML recommends suitable crops using various mathematical or statistical methods.By employing these methods, we can advise the farmer on the most suitable crop to grow in his particular agricultural region, helping him to maximize his profits.To help farmers make informed decisions about what to grow, crops are classified according to the nutrients they contain.Classification is ML technique that has enormous potential for the farming sector.Different classifiers are currently available for this purpose [9].Classification uses training data to categorize new