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Climate and soil input data aggregation effects in crop models

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This dataset contains interpolated and aggregated soil and climate data of the region of North Rhine-Westphalia (Germany). The data is provided for grids of 1, 10, 25, 50 and 100 km resolutions. These data grids represent spatial aggregations of the

A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

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Grain production must increase by 60% in the next four decades to keep up with the expected population growth and food demand. A significant part of this increase must come from the improvement of staple crop grain yield potential. Crop growth simula

AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

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The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations covering al

Informal and non-market operations in activity systems

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Measuring informal and non-market activities: a representative survey of Kanak households in the indigenous villages of New Caledonia. In 2011, a survey was conducted to examine the role of agricultural activities (agriculture, breeding, fishing and

FarmVibes.AI

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FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

AgML

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AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synth