Similar Items: Spectral signature generalization and expansion can improve the accuracy of satellite image classification
- Application of multitemporal ERS-2 synthetic aperture radar in delineating rice cropping systems in the Mekong River Delta, Vietnam
- Collection, classification, and conservation of cultivated and wild rices of the Lao PDR
- Seasonal effect on the accuracy of land use/land cover classification in the Bilate Sub-basin, Abaya-Chamo Basin, Rift Valley Lakes Basin of Ethiopia
- Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability
- Crop and land cover classification by Landsat 7, and determination of irrigated areas
- Mapping wetland areas on forested landsacpes using Radarasat-2 and Landsat-5 TM data
Author: Laborte, Alice G.
- How sustainable is sustainable intensification? Assessing yield gaps at field and farm level across the globe
- Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
- Rice yields and yield gaps in Southeast Asia: past trends and future outlook
- Rice quality: How is it defined by consumers, industry, food scientists and geneticists?
- Southeast Asia must narrow down the yield gap to continue to be a major rice bowl
- Diversity of global rice markets and the science required for consumer-targeted rice breeding