Crop yield prediction in cotton for regional level using random forest approach

• Published in: Spatial information research (Online) Vol. 29; no. 2; pp. 195 - 206
• Main Authors: Prasad, N. R., Patel, N R, Danodia, Abhishek
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.04.2021; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; 공학일반; Random forest; Crop yield; R package; Yield prediction

Early and precise estimation of crop yield plays a crucial role in quantitative and financial assessment at field level, to lay down strategic plans for import–export policies for agricultural commodities and to doubling the income of farmers. In this study, a machine learning based random forest (R...