A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
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Deep learning tool sets benchmark for accurate rice panicle counting across growth stages
Subscribe to our newsletter for the latest sci-tech news updates. Rice panicle counting has historically relied on detection-, density-, or location-based methods. However, detection models struggle ...
Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.
During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells. A team of MIT engineers has now developed a way to predict, minute ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...
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