Cyber physical technologies such as earth observation and biophysical crop modelling can play a major role in production, sustainability, and profitability of production systems in the face of climate change.
Computer simulations confirm that plant diversity can be explained by three assumptions.
A new algorithm offers to take up the hard work of turning data points into tree models.
New laser technology can measure faster and more accurately.
The damage caused by sub-lethal pesticides to pollinators may show up first in plants, not bees.
Detailed kinetic modelling of sucrose translocation and metabolism captures the spatio-temporal evolution of the advection-diffusion-reaction system.
A comparison of the performance of knowledge-based models, data-driven machine-learned models, and an ensemble of both.
Yield dissection models in tomato identify promising yield components and corresponding QTLs.
Evaluating how limited transpiration at high evaporative demand affect grain yield across Australia using computer models.
Soybean is not commonly grown in Northern Europe, but can it be, and how?
A new study unravels why maize has higher yields and sorghum is more drought tolerant using a cropping systems modeling platform.
A new study uses drought patterns, sowing date, and genotype phenology to reduce sorghum water stress during critical stages.
Dynamic crop simulation models can be transformed into gene-based models by replacing an existing process module with a gene-based module for simulating the same process.