Tea is a very important cash crop in Vietnam as it provides crucial income and employment for farmers in poor rural areas. Unfortunately, the dominance of long-term, conventional tea cultivation has caused severe soil health degradation and environmental pollution. At the same time, as tea production may provide a better net income compared with other annual crops such as rice and vegetables, farmers have been converting parts of their allocated land to cultivate tea plants.

Within the framework of the CGIAR 2030 Research and Innovation Strategy, CGIAR is
actively engaged in a series of initiatives aimed at realizing a world with sustainable and
resilient food, land, and water systems. These initiatives have the overarching goal of
fostering more diverse, healthy, safe, sufficient, and affordable diets while ensuring
improved livelihoods and greater social equality, all while operating within global and
regional environmental boundaries. One of these significant initiatives is the CGIAR

The entire Indian subcontinent experienced devastating floods in the year 2022. The central section of the Godavari river basin (GRB) received torrential rainfall from the southwest monsoon during the second week of July 2022. This study exhibits how Earth observation (EO) datasets and cloud platforms like Google Earth Engine (GEE) can be used for swift, lucid and accurate decoding of the flood inundation signatures. Geospatial analysts can estimate concurrent floods using high-resolution C-band SAR/Sentinel-1 images, gridded precipitation and streamflow forecast datasets.

Tilapia hatcheries are the most common type of fish hatchery in Egypt, as well as many other countries
globally. Their success has helped supply fish farms with quality tilapia seed, which in turn has increased
farmed fish production in many parts of the world. With the fish farming industry growing so quickly,
however, tilapia hatcheries must improve the quality of their seed production for fish farmers to maintain
their profit margins.
To this end, these guidelines document the most optimal, locally appropriate, management practices for

Moth bean (Vigna aconitifolia) is an orphan legume of Vigna genus, exhibiting wide adaptability and has the potential to grow well in arid and semi-arid areas, predominantly across different eco-geographical regions of Asia, particularly the Indian subcontinent. The inherent adaptive attributes of this crop have made it more tolerant towards a diverse array of abiotic and biotic stresses that commonly restrain yield among other Vigna species.

Introduction. In the world, 33% of soils are degraded, and 2.9 million people are affected by land degradation, with problems associated with food security, conflicts over natural resources, and migration with different impacts on men or women. To support sustainable soil management, it is necessary to include women's contributions to soil Sciences; their achievements and academic performance still need to be represented. Women in Science represent 30% worldwide. In Mexico, only 24 % of top academic positions are women.

Present global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PTFs) applied to maps of other basic soil properties. As an alternative, ‘point-based’ mapping of soil water content can improve global soil data availability and quality. We developed point-based global maps with estimated uncertainty of the volumetric SWR at 100, 330 and 15 000 cm suction using measured SWR data extracted from the WoSIS Soil Profile Database together with data estimated by a random forest PTF (PTF-RF).

We are pleased to report that NEXUS Gains has made substantial progress since its launch in April 2022, as outlined in our annual technical report. Energy, food production, and ecosystems are driven by water, which is central to our nexus approach. To ensure the sustainability of the program, we have invested considerable time in building teams and partnerships in our target basins. We have also made substantial progress in building water–energy–food–environment (WEFE) knowledge and capacities, and women’s leadership capacities.

The Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) project is a three-year initiative funded by the World Bank and implemented in six (6) African countries: Ethiopia, Ghana, Kenya, Mali, Senegal and Zambia. In Senegal, the project’s objective is to reach and impact over 300 000 farmers and value chain players with climate informed agro-advisories and new/improved climate smart-agriculture (CSA) packages and technologies by the end of 2023.

The potential for operations research with farmer supplied data coupled with machine learning to improve crop management is explored through a series of case studies from developing countries. The information provided by the farmers ranged from solely yield to a description of the management of the crop and some details of the growth environment. The climate or weather conditions of the georeferenced farms were estimated from publicly available data bases. Two principle analytical approaches were used.

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