Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
India’s crop protection landscape has fundamentally shifted- from protecting yields to securing food security amid climate ...
A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...
Morning Overview on MSNOpinion
AI breeding aims to boost orphan crops and strengthen food security
Artificial intelligence is quietly reshaping how crops are bred, and the biggest gains may come not in corn or wheat but in ...
Advisory firm leaders and consultants share the trends and developments likely to affect the financial advice industry in the ...
A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...
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