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4 datasets found
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Maize crop cut data from Odisha plateau N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaMaize crop cut data from farmer's field collected at Odisha plateau ecology.Created January 20, 2025 • Updated January 20, 2025 -
Large on-farm trial data to assess the effect of additional irrigation on yie... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaLower yield of wheat in eastern India can be attributed to several input factors i.e., inappropriate crop management practices including other social and environmental factors. Among them, sub-optimal irrigation is one of the important factors. Recommended number of irrigations for optimal wheat harvest is 4-5 depending upon crop growth stages and...Created January 20, 2025 • Updated January 20, 2025 -
Data on farmers’ rice production practices during 2017 monsoon season from ea... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaLandscape 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...Created January 20, 2025 • Updated January 20, 2025 -
Landscape diagnostic survey data of wheat production practices and yield of 2... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 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 a KVK (government extension system) domain/district. Data...Created January 20, 2025 • Updated January 20, 2025
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