Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
Ecologists find that while birds can scatter seeds, sometimes they take their treasures too far to aid a plant.
As temperatures rise, the life span of a crucial pollinator diminishes to the extent it may not be able to do its job.
Identification of traits affecting pollen performance
Introducing cageminer, an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks
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.
Birches may have developed white bark to warn herbivores that they’re not good to eat.
The best method depends on your goal, need for accuracy, and computing allowance
Fragrances produced by plants are excellent for attracting pollinators, but how do they prevent unwanted guests from arriving?
An examination of herbarium records has helped track the dynamics of plant invasions.
An assessment of deep generative networks in creating realistic 3D data
Camera traps show that it’s not missing pollinators that leave an Australian shrub critically endangered.
Scientists find that reducing fertilizer input to a field can help plants call for assistance when fighting off herbivores.
Surveying machine learning methods to improve detection of binding sites.