The Nepal Crop Type Survey 2022-2023 aims to comprehensively assess and categorize the diverse range of crops cultivated across various regions of Nepal. This survey endeavors to capture the agricultural landscape, identifying predominant crop types, their distribution, and cultivation practices. Objectives of this survey were i) to identify diverse range of crops cultivated across various regions for understanding agricultural diversity within Nepal, ii) to map the crop types by using survey data collected on the ground in combination with high-resolution satellite images (ESRI World Imagery, Venµs and Sentinel-2), and iii) to create a dataset for the winter crops covering most of the Terai region of Nepal.
Landscape Diagnostic Survey (LDS) data contains current rice production practices of rice applied by 8,355 farmers in eight states of India. The objective of collecting this data is to bridge the existing data-gap and to generate data-based evidence that can help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within a KVK (government extension system) domain/district. Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on rice establishment, fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet.
This dataset include data from a national wheat survey in Ehiopia in 2016 during the main season for a DNA fingerprinting study. The data contain wheat varieties genotyped using DNA fingerprinting (DNA FP), farmers recall survey and matching of DNA FP with farmers recall.
TAMASA Agronomy Panel Survey 2016/17 Season. This file contains the maize grain yield from approximately 578 maize fields in the Southern Highlands, Northern and Eastern Zones of Tanzania in collected May-August 2017. Maize grain yield data can be linked to associated maize yield and soil by the common HHID.
The development of relatively sophisticated actors along the agricultural value chains is an important precursor for agricultural development. In staple crop value chains for example, innovations around warehouse receipting and collateralization can enable farmers to successfully engage in temporal and spatial arbitrage, thereby opening opportunities to improve producer prices and expanding market horizons and creating greater market opportunities for rural households. This study summarizes the results of a market survey conducted in Eastern and Western Kenya as well as the major maize and legume markets in Ethiopia to identify key indicators of modernizing maize and legume markets in those countries. Using data from a market survey of 275 and 106 maize and /or legume traders in Ethiopia and Kenya respectively, evidence of modernization was summarized in terms of the following parameters. The existence of impersonal exchange, contract-based transactions, price information systems, standardization and quality differentiation. The survey finds that most maize and legume markets do not rely on contractual arrangements, formal price systems, do not have credit facilities to farmers and have no universal quality standardization. Two main gaps were identified. The need for formal price information systems based on widely accepted quality definitions and the need to develop the infrastructure for auxiliary services such as credit, forward sales, transportation and grading among others. On future research, empirical analyses should focus on determining the key financial, efficiency and development gains in such measures as standardized grades and quality, contracting and vertically integration.
