The major objectives of this rice crop cuts and survey were to: (i) identify major rice yield determinants in western terai districts of Nepal and (ii) to identify major determinants that describe the variability in rice yield across farms thereby linking with farm characteristics and socio-economic gradients. This study uses Remote Sensing (RS) data...

The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key...

The objective of the Landscape Diagnostic Survey (LDS) for wheat is to bridge the existing data-gap around current production practices of wheat, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. The data has been...

The objective of the Landscape Diagnostic Survey (LDS) for rice is to bridge the existing data-gap around current production practices of rice, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. Data has been collected...

Landscape Diagnostic Survey (LDS) for rice contains farmer's data on current production practices they applied for cultivating rice during 2017 monsoon season. The dataset contains 6857 farmers’ information captured from Bihar, Uttar Pradesh and Odisha states from eastern part of India. The objective of collecting this data is to bridge the existing...

The survey was conducted in 2015 immediately after lentil harvest in six western Nepal districts: Surkhet, Dadeldhura (mid and far west hills) and Banke, Bardiya, Kailali, Kanchanpur from terai. These six districts were selected purposively for the survey and sub districts selection was based on lentil acreage. 600 samples were selected randomly.