ai-in-agriculture
AI in agriculture refers to the application of machine learning, computer vision, and data-driven algorithms to optimize crop production, disease detection, and resource management in farming systems. For plant science, these tools enable researchers to analyze vast datasets from genomics, remote sensing, and field imaging to identify stress responses, predict yield outcomes, and accelerate the discovery of traits associated with disease resistance or climate adaptation. This integration is transforming how scientists monitor plant health at scale and develop precision interventions grounded in biological insight.
Metabolomics-guided engineering of drought-resilient crops: Integra...
Fruits, vegetables, and grains you rely on are increasingly threatened by droughts made worse by ...
Harnessing diverse tRNAs and AI-guided mining for compact and effic...
It could accelerate the development of crops that resist drought, pests, and disease — meaning mo...
Fighting citrus Huanglongbing with evolutionary principles.
Huanglongbing has already wiped out millions of orange and lemon trees worldwide, threatening the...
From Green Revolution to Multigene Revolution: Breeding High-Yield ...
Rice feeds more than half of humanity, and the strategies outlined in this research could directl...
AI-empowered crop protection against insect-borne diseases.
Citrus on your grocery store shelf and the tomatoes in your garden are under constant threat from...
Rising Star: Rewriting the Code of Life for the Future of Food.
The wheat, rice, and vegetables heading to your plate could soon be redesigned to survive drought...
Synergizing Genome Editing and Artificial Intelligence for Predicti...
The tomatoes, wheat, and corn you eat could soon be engineered to survive droughts, pack more nut...
Beyond the Data: Artificial Intelligence, Knowledge Graphs, and the...
Wheat in your bread, pasta, and cereal is under serious threat from droughts and heatwaves, and t...
Antimicrobial peptides: An important link in the game theory betwee...
It could lead to crops that protect themselves from disease without the toxic chemical residues t...
Challenges in Bringing Pangenome Research Into Breeding: A Case Stu...
Rice feeds more than half the world's population, and these new genetic tools could help breeders...
Beyond CRISPR/Cas9: emerging genome editing technologies for next-g...
The wheat in your bread and the vegetables in your garden could soon be grown from varieties engi...
Mechanistically Informed and Omics-Guided Essential Oil Application...
Oregano, thyme, and other fragrant herbs you might grow on a windowsill naturally produce oils po...
Toward predictable and programmable genetic circuits in plants.
Engineered crop plants that sense drought, adjust their own growth, or resist pests without pesti...
