Unpacking the processes that catalyzed the adoption of best management practices for lowland irrigated rice in the Mekong Delta
Potential trade policy reforms in Southeast Asian rice markets: Domestic and international impacts
Co-benefits of nutrient management tailored to smallholder agriculture
Development of healthy and nutritious cereals: Recent insights on molecular advances in breeding
Interactive effect of weeding regimes, rice cultivars, and seeding rates influence the rice-weed competition under dry direct-seeded condition
Evaluating the predictive accuracy of WeRise to improve rainfed rice productivity in Southeast Asia
While inorganic fertilizers combined with high-yielding varieties, mechanization, irrigation, and other inputs have contributed to sustained increases in crop yield and food security in the 20th century, relying on blanket applications of fertilizer is inefficient and can cause excessive nutrient losses to...
The rice tarrification debate is well-anchored in economic research, but there is still scope for additional work. This study fills this gap in the literature by investigating those impacts for rice market participants including farmers, consumers, traders, policymakers, and government agencies in Indonesia and Malaysia using the IRRI Global Rice Model based in a partial equilibrium framework. ...
Malnutrition is linked with heavy dependence on monotonous cereal staples without much dietary diversification or nutrient supplementation. Even though significant efforts have been made over the last six decades to improve production and productivity in most food crops, it lacked associated nutritional improvement. Biofortification of cereals with elevated levels of essential micronutrients, vitamins,...
In this study, we used radial kernel support vector machine (SVM) to map the crop types of smallholder farms in two sites in eastern India. We focused on using SVM because previous studies have suggested that it produces higher classification accuracies compared to other commonly used algorithms, including random forest, for supervised pixel-based classifications. We specifically focused on mapping...
