A Pathway to Salt-Tolerant Crops in a Changing Climate
A new metabolic model identifies the genetic basis of salt stress resilience in plants.
in silico Plants
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Synthetic Stomata: Leveraging Artificial Imagery for Improved Stomatal Analysis
A new tool generates images of stomata that improve the accuracy of stomal detection by deep learning models.
Cracking the Code of Hazelnut Tree Architecture
A new model of hazelnut enhances our understanding of its growth and development.
From Complexity to Simplicity: Assessing Light Interception Models
A new study reveals that a simple block model can achieve comparable results to complex models in assessing light interception for maize
Unraveling the Mechanisms of Photoinhibition in Plants
Recent research emphasizes the critical role of photoprotection mechanisms in helping plants cope with excess light, which can impair photosynthesis.
Optimizing Soybean Production in the Southern Cone
A new interactive tool is helping South American soybean growers make smarter planting decisions.
RIPE team models connection between enzyme activity and yields for the first time
New model connects dynamic enzyme activity of photosynthesis with whole canopy growth and yield for soybean.
Computer Modeling Reveals Complexity Behind Phenotype-Yield Relationship in Soybean
There is a complex relationship between leaf area index and yield, which is influenced by an intricate interplay of genetic, environmental, and management factors.
Improving crop modeling using machine learning
Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
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