Boosting Crop Yield Predictions: Combining Climate and Satellite Data

Therefore, using a combination of climatic and environmental variables can lead to more accurate predictions of crop yield. Satellite images can be used to monitor changes in leaf characteristics, such as chlorophyll content and leaf area index, which are indicators of plant health and growth. By analyzing these variables, farmers and researchers can identify areas of the field that may require additional inputs or adjustments to optimize crop growth and yield. Overall, incorporating both climatic and environmental variables in crop yield prediction models can improve crop management and increase agricultural productivity.