Determination of coffee quality can be done using digital image processing methods to produce parameters and quality classifications precisely, make images of better quality so that photos and moving images can be easily understood.

The objectives of the study is to identify the socio-economic characteristics of the respondents, determine the technical efficiency and measure the total resource productivity of watermelon production in the study area.

AGRA shows that for seed companies to access finance, support needs to be based on performance and stage of development, be market oriented and blended in nature.

This publication is intended for managers of technical services, NGOs and civil society as well as all other actors involved in agricultural risk management.

The high-level analysis was complemented by deep dives of incubation programmes implemented by 16 ESOs.

eport examines the motivation and willingness of Village Civil Protection Committees (VCPCs) and communities to mobilize resources at community level for Disaster Risk Management (DRM).

We analyze paddy rice productivity and profitability data for the monsoon season of 2022 from the Myanmar Agriculture Performance Survey (MAPS), fielded in the beginning of 2023. The survey covered plots of 3,076 paddy rice producers, spread across a...

This chapter re-looks at the current global agricultural water demand estimations and challenges for making reliable future projections.

The CGIAR Initiative on NEXUS Gains works at the critical intersection of water, energy, food, and environmental systems in selected transboundary river basins to realize multiple development benefits and reduce trade-offs.

This would be feasible by managing the coordination with financial institutions, monetary and nonmonetary incentives, and building on existing farmers’ collective organizations and farmers’ pioneers to enable a sociological transition to water produc...

This publication offers a synthesis of the major factors at play in the global food and agricultural landscape. Statistics are presented in four thematic chapters, covering the economic importance of agricultural activities, inputs, outputs and facto...

Farming Systems Analysis (FSA) is commonly used in CGIAR to assess ‘what works where, and for who?’. The findings are used to prioritize tailored/context-specific interventions and target investments for greater impact. An assessment of seven new CGI...