From farm to plate and beyond: The need for ag-tech development in the Sri Lankan rice sector
What drives consumer demand for packaged rice? Evidence from South and Southeast Asia
Influence of non-puddled transplanting and residues of previous mustard on rice
An impact of agronomic practices of sustainable rice-wheat crop intensification on food security, economic adaptability, and environmental mitigation across eastern Indo-Gangetic Plains
Using Sentinel-1, Sentinel-2, and Planet imagery to map crop type of smallholder farms
Establishment of crops under minimal soil disturbance and crop residue retention in rice-based cropping system: Yield advantage, soil health improvement, and economic benefit
Most of the tillage operations for puddling soil in Bangladesh are done by power tiller which is detrimental to physical soil conditions. Moreover, puddling produces a hard setting soil when dry which makes land preparation difficult for the following crops.The study was conducted to examine the performance...
An impact of agronomic practices of sustainable rice-wheat crop intensification on food security, economic adaptability, and environmental mitigation across eastern Indo-Gangetic Plains
Establishment of crops under minimal soil disturbance and crop residue retention in rice-based cropping system: Yield advantage, soil health improvement, and economic benefit
The demand for improved packaging, branding, and labeling of rice is expected to rise in Asia. Because of rapid income growth in Asia, consumers are increasingly willing to pay for higher quality and healthier products. Second, regulators are becoming more stringent in their food safety policies regarding product packaging and labeling attributes. Third, extrinsic attributes are also being used for...
Many believe that the rice-producing sector of Sri Lanka requires urgent transformation. The adoption of emerging technological innovations has the potential to overcome the structural weaknesses of the current rice industry and deliver a more productive, competitive, and sustainable outcome, using a more precise and resource-efficient approach. ...
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...
