About this document
Sugar Beet Yield Prediction Using Data by rrdpereira is a document available to read on EtoBox.
The document discusses a study that aimed to develop an efficient sugar beet cultivation support system in Japan. Researchers analyzed meteorological and SPOT satellite data from 1990-2007 in Memuro, Hokkaido to predict sugar beet root yields before harvest. A regression model using cumulative temperature, precipitation, and solar radiation from April to July predicted yields with 3.8t/ha error. Yields were further refined using NDVI values derived from satellite data. The results suggest root yields can be
- Author
- rrdpereira
- Language
- EN