Survey on Decision Support System in Agriculture

  • Priti Prakash Jorveka, Jayashree Rajesh Prasad


Today a big demand of agricultural product with its best quality essentially needed to survive the product in the market. However, achieving best quality of product with unfavourable climatic conditions and variable soil parameters rises the problems for farmers. As evaluation in modern farming moving forward to agriculture 4.0, there is need of better, trustable and user-friendly decision support system.The objective of this paper is to analyze the real time problems which are faced by farmers community, those needs to be conceded for developing decision support system. Future researchers can improve the decision support systems by overcoming these detected challenges. Authors herewith review state-of-art research on decision support systems with various parameters such as soil parameters, metrological parameters, geographic location parameters. Authors further propose future directions for improving decision support system by using latest technology such as Artificial intelligence, Cloud computing, Internet of things, Machine learning, Deep learning and Big data.