Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments
Crop yield prediction is critical for investigating the yield gap and potential adaptations to environmental and management factors in arid regions. Crop models (CMs) are powerful tools for predicting yield and water use, but they still have...
Socioeconomic diversity and typology of Bedouin communities in the hot dry Coastal Zone of Western Desert, Egypt
The study was carried out to assess the diversity of the farming system and the associated development needs of Bedouin communities in the rural area of the hot dry Coastal Zone of Western Desert (CZWD), Egypt with the objective of improving...
Research Data Management Commitment Drivers: An Analysis of Practices, Training, Policies, Infrastructure, and Motivation in Global Agricultural Science
Scientists largely acknowledge the value of research data management (RDM) to enable reproducibility and reuse. But, RDM practices are not sufficiently rewarded within the traditional academic reputation economy. Recent work showed that emerging...
This template is for use by WOCAT executive team and Secretariat staff to determine whether there are activities that contribute to performance indicators, and guide the subsequent reporting
The form is used for reporting data for computing indicator values for the indicator: Number of SLM projects and programmes using WOCAT tools, methods and services
The form is used for reporting data for computing indicator values for the indicator: Number of global training events conducted for UNCCD parties and other partners
The form is used for reporting data for computing indicator values for the indicator: Number of media items of key stakeholders in which WOCAT is mentioned
