1. Design of predictive analysis system for crops using machine learning approaches.
- Author
-
Shanmugam, S. and Bardhan, Harsh
- Subjects
- *
MACHINE learning , *DATA mining , *AGRICULTURAL forecasts , *RANDOM forest algorithms , *AGRICULTURAL productivity - Abstract
India depends substantially on agriculture. Agriculture output is impacted by seasonal, organic, and economic factors. The current demographics of our country make it challenging to estimate agricultural production. Long-term crop output forecasts enable farmers to prepare for activities such as selling and storage. Given the huge amount of data involved in crop output predictions, data mining techniques are the right approach. An approach known as data mining serves to harvest anticipated information from enormous datasets that have never been accessed previously. Data mining, which helps organizations foresee future trends and behavior, decisions may be made with knowledge. This research uses the Random Forest approach to provide a brief overview of the agriculture yield estimate for a certain area. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF