WxCrop agent predicts crop loss from weather hazards
Florida tests cover hurricanes, freezes and dry heat, with insurance-calibrated loss models and three reliability checks.
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Florida tests cover hurricanes, freezes and dry heat, with insurance-calibrated loss models and three reliability checks.
Under a 10% regret cap, diversification lowered modeled social loss by 10.89–41.53% in five Moroccan cereal systems.

Founders say cloud interpretation of stem signals covers about 125 species and can cut water use by 20% or more.
A 1.7 MB CNN classifies potato leaf blight, reaching 98.66% on PlantVillage and 90.28% in Ethiopian fields.
Turba’s open-source stack packages reproducible site-specific fertilizer recommendation models for Moroccan cereals.
PAtteRNS factorizes temporal, spectral, and spatial attention for Sentinel-2 cropland segmentation.
Multi-task RNN architectures pooling sparse cultivar data improve grape cold-hardiness and budbreak prediction over single-task and scientific baselines.
A unified ViT compression pipeline (H-BAC pruning, quantization, distillation) cuts plant-disease models 54.5x to 6.01 MB while keeping 95.13% accuracy.
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