Rice Yield Prediction using Machine Learning and Remote Sensing Vegetation Indices from Sentinel2, Landsat and MODIS in Mali
Summary by researchsquare.com
1 Articles
1 Articles
All
Left
Center
Right
Rice Yield Prediction using Machine Learning and Remote Sensing Vegetation Indices from Sentinel2, Landsat and MODIS in Mali
Rice is the second most important cereal crops in Mali, a region marked by climatic variability and agricultural vulnerability. According to the UN FAOSTAT, its production has almost tripled over the past 15 years, while its rice-growing land has more than doubled. Due to ongoing conflict and ins...
Coverage Details
Total News Sources1
Leaning Left0Leaning Right0Center0Last UpdatedBias DistributionNo sources with tracked biases.
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
Factuality
To view factuality data please Upgrade to Premium