A Comprehensive Review on Precision Agriculture and Machine Learning Approach in Bangladesh

Abstract

Agriculture is seen as a key pillar of the economy of Bangladesh. The country produces an enormous variety of crops. To ensure stability by preventing losses and maintaining supply and market demand, the integration of advanced technology like Machine Learning (ML) in agriculture is beneficial. With the growth of Big Data techniques and powerful computers, ML has opened up new possibilities for data-intensive research in a variety of disciplines of crop cultivation. Since crops are one of the main components of agriculture, our main concerns are issues relating to crops such as disease detection, crop price and yield prediction. Disease infected crops cause significant loss. Producers need to have the right information on which crops should be harvested where and when. Again, ensuring fair price of crops is mandatory for economical balance and stability. This paper provides an in-depth review of the research on ML applications in agricultural systems. A combination of ML and agriculture can provide great suggestions and in-depth insights for farmers in decision support and action.