Machine Learning Based Crop Recommendation System

Autor: Jugal Jain, Tanishq Gupta, Dhruv Piyush Parikh, Rishit Hemant Dabhade
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Advanced Research in Science, Communication and Technology. :891-897
ISSN: 2581-9429
Popis: The three most basic amenities required for the survival of a human being are food, shelter and clothing. In today’s tech-savvy generation, the latter two have witnessed a huge scientific boost. Unfortunately, even today, agriculture is considered as more of a man-power oriented field. Most of the farmers are untutored and have little to no scientific knowledge of farming. So, they have to rely on the hit and trial method to learn from experience which leads to wastage of time and resources. Our system focuses on building a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters. This can be helpful for the farmers to be more productive and competent without wasting any resources by farming the most competent crops.
Databáze: OpenAIRE