A zero-shot learning framework for maize cob phenotyping

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
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 ...
EurekAlert!

From DNA to harvest: genomic prediction sharpens rapeseed breeding accuracy

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
Earth.com

Predicting how plants scatter sunlight could boost crop yields

A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...
The Conversation

The gift that keeps on giving: How solar panels on farms can help increase crop yields

Joshua M. Pearce has received funding for research from the Natural Sciences and Engineering Research Council of Canada, the Canada Foundation for Innovation, Mitacs, the U.S. Department of Energy and ...
Frontiers

Almond yield prediction at orchard scale using satellite-derived biophysical traits and crop evapotranspiration combined with machine learning

Accurate almond yield prediction is essential for supporting decision-making across multiple scales, from individual growers to international markets. This is crucial in the Mediterranean region, ...
GEN

Machine-Learning-Assisted mAb Yield Improvement

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
EurekAlert!

Heatwave predictions months in advance with machine learning: A new study delivers improved accuracy and efficiency

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
The New York Times

Alaska Tests a Theory: Solar Farms Help Nearby Crops Grow

Produce and power are both costly in the state. So researchers are testing ways to address both issues using the same land. 50 States, 50 Fixes Produce and power are both costly in the state. So ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
IEEE

Evaluating Machine Learning Models for Crop Yield Prediction

Abstract: Predicting crop yields accurately is essential to improve agricultural planning, maximize resource allocation, and ensure food security. Predictive models can help farmers and policymakers ...