A new study reveals that a simple block model can achieve comparable results to complex models in assessing light interception for maize

Deep learning helps track biodiversity shifts across California landscapes.

Recent research emphasizes the critical role of photoprotection mechanisms in helping plants cope with excess light, which can impair photosynthesis.

A new interactive tool is helping South American soybean growers make smarter planting decisions.

New model connects dynamic enzyme activity of photosynthesis with whole canopy growth and yield for 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.

A bottom-up model of wall mechanics in stomatal guard cells reveals how wall composition and structure modulate the biomechanical properties that enable stomatal movements.

Revolutionizing scientific communication and insight through auditory and visual representations.

The Synavis framework provides a solution to overcome data scarcity for training deep learning biological image analysis models.

A new study comparing crop yield prediction models reveals insights into the effectiveness of different modeling in the face of climate change.

Models uncover how plants coordinate architectural characteristics and photosynthetic nitrogen allocation to optimize photosynthesis.

A novel systems model, in conjunction with genetic algorithms, identify ideotypes with high yield potential.