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Highlights: Predicting performance of hybrids prior to field evaluation is a challenging problem. We developed machine learning models to estimate performance of untested hybrids. The...

Highlights: Collection and labelling of datasets in close supervision of plant pathologist. Employing K-Means algorithm for segmentation of region of interest. Using severity scale for estimation of...

Highlights: Estimating durum wheat yields in Algeria using climate records; A forecasting process using machine learning in the presence of data scarcity; Data augmentation by...

CONTEXT Although rice production has increased significantly in the last decade in West Africa, the region is far from being rice self-sufficient. Inland valleys (IVs) with...

Highlights Agriculture 4.0 comprises radical digital and biotechnological innovations. Agriculture 4.0 may have pervasive effects on future agricultural and food systems. More...

This paper presents the first global picture of food security at a subnational level based on the Food Insecurity Experience Scale, the indicator for the Sustainable Development Goal of “Zero Hunger”...

An international event that will bring together European and global actors in the field of open-source Earth Observation applications in policy, business, research and for society.

We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects of the war started by Russia on area and expected yield of winter crops aggregated...

Climate change is considered primarily as a human-created phenomenon that is changing the way humans live. Nowhere are the impacts of climate change more evident than in the food ecosphere. Climate-induced...

Defining and measuring food insecurity at the household level is critical for policymakers, aid agencies, and international organizations. Food insecurity indicators, such as the Food Consumption Score, are...