precision-agriculture
Precision agriculture is a data-driven management approach that gathers and analyzes temporal, spatial, and individual plant information to guide agricultural decisions. For plant science, this technique enables detailed investigation of how plants respond to environmental conditions and management practices at the individual plant level. By integrating granular plant-level observations with broader agronomic data, precision agriculture advances both research understanding and practical crop production outcomes.
open_in_new WikipediaNanomaterials for Enhancing Agricultural Stress Resilience.
The tomatoes and wheat behind your next meal could survive droughts and disease outbreaks far bet...
Recent Advances in the Detection of Plant Diseases Based on the CRI...
Faster, cheaper disease tests mean a farmer can confirm whether their wheat field has rust fungus...
Image-based machine learning models for customized soil moisture ma...
Smarter, plant-by-plant watering could mean fresher produce at the grocery store, less water wast...
On-site, highly-sensitive and multi-signal detection of cucumber ba...
The cucumbers at your farmers market or in your garden are vulnerable to fast-spreading bacterial...
Assessing plant water status: Part 2 - Non-destructive and remote s...
The tomatoes wilting in your garden give you one signal — but by then stress has already cost you...
Microscopic bubbles could help bacteria clean up contaminated and s...
Saline and polluted soils are quietly shrinking the land available for growing food, and this res...
UniTriRob: a robust machine learning regression model for predictin...
Smarter yield prediction means fresher, cheaper lettuce grown locally year-round — reducing the l...
LSTM-GRU hybrid model for multi-layer microclimate prediction in so...
Tomatoes and cucumbers growing in your local greenhouse could soon benefit from AI that keeps the...
AI-guided drones are changing how and where we plant seeds
Drone seed sowing is already being piloted for reforestation and cover-crop planting on slopes to...
Innovative approaches to mitigating persistent toxic substances and...
The vegetables and grains you eat may carry invisible chemical baggage — heavy metals, industrial...
Deep convolutional models for robust multi-crop disease recognition...
If you grow tomatoes, potatoes, or grapes in your backyard and something starts going wrong with ...
Continuous monitoring of plant water potential: sensor-based approa...
Knowing exactly when the tomatoes in your garden or the trees on your street are dangerously thir...
AI tools are getting good at spotting fungal plant diseases before ...
Fungal diseases can wipe out a tomato bed or an entire orchard in days, and the new generation of...
Phenological growth phases of dwarf apple trees: coding and descrip...
Knowing exactly when your apple tree is budding, flowering, or setting fruit lets you time your w...
A unified AI framework could finally teach crops to thrive in shade
Those leggy, pale bean plants crowded out at the edge of your garden bed are losing a light compe...
Geostatistical spatial mapping of soil potassium fractions and targ...
Knowing exactly where your apple tree's soil is potassium-poor — rather than guessing and over-fe...
Drone AI pinpoints crop weeds so farmers spray only where needed
Lambsquarters, pigweed, and foxtail crowd your vegetable beds for the same reason they swamp corn...
Predicting complex phenotypes using multi-omics data in maize.
Corn breeders using these methods could develop varieties that hold up better in your region's sh...
Dual-Electrode Wearable Biosensors for In-Field MicroRNA Analysis i...
Imagine knowing your tomato plants are stressed by salt buildup days before the leaves start wilt...
Observing the invisible: X-ray CT for plant-microbe interactions.
Every shovelful of garden soil you turn is a landscape of tunnels, pores, and root highways that ...
Drones now plant seeds precisely where small farms need them most
Seed spacing that used to require skilled hands walking muddy rows can now be handled by a swarm ...
Drones plant seeds with precision, cutting waste and soil damage
The fields and restoration sites around you could soon be seeded by autonomous drone swarms that ...
Quantum sensing for precision agriculture and environmental monitor...
Sensors small enough to embed in your garden bed could one day tell you exactly which nutrients y...
AI tool counts and outlines overlapping leafy vegetables on afforda...
Farmers and home growers using smart cameras or apps could soon get automated, accurate counts an...
Repeatability and Heritability of UAV-Derived Canopy Traits in a Ca...
Cassava feeds over 800 million people across Africa and the tropics, and drone-based breeding too...
Improving Nitrogen Use Efficiency in Wheat: Integrating Agronomic, ...
Every loaf of bread you bake carries a hidden environmental cost: the nitrogen fertilizer used to...
Omics-driven plant breeding through phenomics-enviromics crosstalk.
Crops bred with this kind of environmental awareness could thrive through the unpredictable heat ...
Efficient deep learning framework for arecanut disease detection us...
Arecanut palms supply the betel nut used in products consumed by hundreds of millions of people a...
Plant stress early detection through a low-cost multispectral devic...
Catching salt stress or drought in your tomatoes or peppers a week before the leaves start yellow...
Mapping soil salinity across depths using quantile regression fores...
Soil salinity is quietly devastating farmland worldwide — the same process threatening fields in ...
Drones with AI are changing how and where seeds get planted
Seed-planting drones guided by AI could soon restore degraded land and reforest slopes that are t...
Machine learning is reshaping how farmers predict yields and catch disease
AI tools trained on field data are getting good enough to flag disease on a crop plant before vis...
A Multi-Modal Dataset for Automated Phenological Stage Mapping in A...
Kiwifruit vines grown on a backyard pergola or a commercial trellis move through flowering in a n...
Plant nanobionic sensors based on near-infrared fluorescent single-...
Sensors that whisper what a plant is feeling from the inside — before leaves wilt, before fruit d...
Machine learning tools are reshaping how farmers predict yields and...
The algorithms being tested on commercial farms today will likely shape the disease-warning apps ...
Response surface optimization of imazethapyr dose and application t...
Faba beans are one of the few crops that fix their own nitrogen and can dramatically cut fertiliz...
Artificial Intelligence in Plant Sciences
AI tools trained on plant images are getting good enough that your phone could soon identify leaf...
Extracting cropping patterns from remotely sensed images in a mixed...
Every rice bowl, stir-fry vegetable, and cup of tea sourced from southern China comes from farmla...
Blind source separation of nonlinearly mixed plant leaf electrical ...
Every time a cloud passes over your garden, your plants' leaves are quietly firing electrical sig...
Smarter satellite math tracks how leafy cotton crops really are
Cotton fields managed with more accurate leaf-area readings use less water and fertilizer, which ...
AI system spots pest damage on corn leaves faster and more accurately
Corn planted in your community garden or small farm patch is vulnerable to pest damage that can w...
New AI spots tiny rice grain clusters hidden in field photos
Anyone who has tried to count seed heads on a windy day in a vegetable patch knows how easy it is...
Tiny AI model spots grain defects in maize, wheat, and rice with hi...
Cheaper, faster defect detection in grain harvests means fewer moldy or damaged kernels slipping ...
AI can help farmers predict crop prices, but reliable data remains scarce
Farmers growing food in your region are increasingly flying blind on pricing decisions, and AI fo...
Smart software could help farmers predict when and what to grow
Farmers growing your food make planting decisions months before harvest, often blind to price swi...
MECHANIZATION OPERATIONS OF SUGARCANE FOR NATURAL RESOURCE CONSERVATION
Sugarcane is the source of most of the table sugar and molasses in your pantry, and how efficient...
