Improving crop modeling using machine learning
Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
Category: News
Seed distribution by birds can be too much of a good thing
Ecologists find that while birds can scatter seeds, sometimes they take their treasures too far to aid a plant.
Warming wasps pollinate poorly
As temperatures rise, the life span of a crucial pollinator diminishes to the extent it may not be able to do its job.
Modelling pollen competition
Identification of traits affecting pollen performance
New open source software for identifying candidate genes
Introducing cageminer, an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks
Native plants in urban settings can improve bird diversity
In urban areas, gardens and parks can provide green oases among the concrete, and birds are adapted to fly in and settle in these areas. But not all green spaces are the same.
When Birches Become Wasps
Birches may have developed white bark to warn herbivores that they’re not good to eat.
Simulating red:far red ratio in your model
The best method depends on your goal, need for accuracy, and computing allowance
Pollinators and Herbivores Influence the Evolution of Chemicals Emitted by Fig Plants in Different Ways
Fragrances produced by plants are excellent for attracting pollinators, but how do they prevent unwanted guests from arriving?
New Modelling Reveals Opportunities to Blunt Plant Invasions Before They Reach a Tipping Point
An examination of herbarium records has helped track the dynamics of plant invasions.
Autonomous construction of 3D leaves
An assessment of deep generative networks in creating realistic 3D data
A rare shrub needs to burn to avoid extinction
Camera traps show that it’s not missing pollinators that leave an Australian shrub critically endangered.
Less Is More When Plants Call for Aid
Scientists find that reducing fertilizer input to a field can help plants call for assistance when fighting off herbivores.
Machine learning used to identify transcription factor-DNA interactions
Surveying machine learning methods to improve detection of binding sites.