Machine learning outperforms traditional models in precision poultry nutrition review
A new review finds machine learning outperforms traditional linear models in predicting poultry nutrient requirements, with big data enabling precise, ...
Tag: precision agriculture
Biopolymer Nanocarriers Promise Smarter Fertilizer Delivery for Precision Farming
A new review examines how five biodegradable biopolymers engineered at the nanoscale could improve nutrient delivery, soil management and stress ...
Nanosensors and AI Join Forces to Catch Crop Diseases Before Symptoms Show
A narrative review synthesizes how nanosensors, nanoimaging and machine-learning pipelines could enable earlier crop disease detection, while flagging unresolved gaps ...
Fuzzy Logic Meets Machine Learning to Keep Farm Drones Flying Through Sandstorms and Floods
A hybrid fuzzy–machine learning framework classifies UAV takeoff safety into Safe, Caution and Unsafe categories for Saudi date palm farms, ...
AI pipeline sharpens detection of yellow rust on wheat leaves
A new deep learning pipeline raises yellow rust classification accuracy on wheat leaves from 78 to 87 percent on the ...
Transformers Outperform CNNs at Spotting Diseased Cotton Leaves in Pakistani Field Study
A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...
Biodegradable Microneedle Sensor Tracks Plant Glucose in Real Time and Sniffs Out Toxic Ammonia Leaks in Tanneries
A biodegradable microneedle patch made of polyvinyl alcohol, polyaniline and phytic acid monitors glucose in living plant leaves for 14 ...
Solar-powered farm robot digs, sows, waters and cuts crops under remote IoT control
Engineers in Pakistan have built and field-tested a solar-powered, IoT-connected agricultural robot that digs, sows, irrigates and cuts crops, achieving ...
Forecast-based virtual sensing and early-warning decision support for canopy-level thermal risk monitoring in tomato greenhouses
Machine-learning forecasts of air and leaf temperature in a commercial tomato greenhouse detected below-setpoint thermal events with average warning lead ...
AI and IoT Transform Poultry Farming with Predictive Microclimate Control
A systematic review of IoT and AI-enabled microclimate regulation in poultry farming demonstrates that predictive climate management can achieve thermal ...
Lightweight AI model detects tea pests and diseases with high accuracy
A lightweight YOLOv8n-based model reached 0.980 mAP@0.5 for seven tea pest and disease classes while substantially reducing model size and ...
Vision transformer identifies coffee leaf nutrient deficiencies and treatment rules
A controlled study of 1,196 coffee leaf images found that an explainable Vision Transformer classified nutrient deficiencies with up to ...
Hybrid model classifies 32 insect species in controlled audio dataset
A hybrid deep-learning model classified 32 insect species from 4,800 recordings with 99.90% accuracy on the InsectSet32 dataset, but independent ...
Deep learning outperforms classical methods for early weed detection
A comparative study of sugar beet and maize seedling imagery found that a custom CNN outperformed classical classifiers, while U-Net ...
DeiT framework pairs plant disease detection with interpretable severity estimates
A hybrid DeiT system reached 99.13% accuracy on a 38-class plant disease benchmark while combining local and global AI explanations ...
Multi-scale AI model improves rice blast severity assessment
A CNN that fuses shallow and deep lesion features classified rice blast severity with about 93% accuracy and estimated the ...
Two Drone Flights, One Better Forecast: Bare-Soil Imagery Boosts Soybean Yield Prediction
A two-flight UAV framework combining pre-season bare-soil imagery with pod-filling canopy indices modestly improved field-scale soybean yield prediction in Northeast ...
Smartphone AI app guides strawberry nitrogen fertigation from leaf photos alone
Researchers in Meghalaya, India, field-tested an Android app that predicts strawberry plant nitrogen status from smartphone leaf photos and converts ...
Deep Learning Model Reaches 98.39% Accuracy in Cotton Leaf Disease Classification
A hybrid ConvNeXt and Random Walk Grey Wolf Optimizer framework classified six categories of cotton leaf conditions with 98.39% accuracy ...
Lightweight AI model spots tiny grape leaf diseases on mobile devices
Researchers report a lightweight YOLOv10n-based detector that cuts model size and computation by roughly a third while maintaining near-baseline accuracy ...
POPULAR NEWS
-
Coconut Rhinoceros Beetle Larval Frass Enhances Plant Growth as Direct Fertilizer
-
Affective and Emotion Terms Reflect Divergent AI Education Research Orientations
-
Bifidobacterium Enzyme PNGaseA Unlocks Specialized Breast Milk Sugars in Infants
-
HIPEC Treatment Proxy Shows Limited Incremental Prognostic Value in Appendiceal Cancer