A survey of unmanned aerial vehicles and deep learning in precision agriculture
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
From fields to pixels: Uav multispectral and field-captured rgb imaging for high-throughput wheat spike and kernel counting
Wheat breeding enhances wheat crops for better environmental resistance and higher yield
potential. Experimental breeding lines are evaluated based on their yield potential, where …
potential. Experimental breeding lines are evaluated based on their yield potential, where …
Comprehensive wheat lodging detection under different UAV heights using machine/deep learning models
J Long, Z Zhang, Q Zhang, X Zhao… - … and Electronics in …, 2025 - Elsevier
Wheat plays an important role in securing global food safety. Since wheat lodging
significantly lowers yield and quality, it is therefore important to obtain wheat lodging …
significantly lowers yield and quality, it is therefore important to obtain wheat lodging …
Field Scale Precision: Predicting Grain Yield of Diverse Wheat Breeding Lines Using High-Throughput UAV Multispectral Imaging
This study explored how to use UAV-based multi-spectral imaging, a plot detection model,
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …
WHYe: A UAV Multispectral and In-Field RGB Imaging-Based Framework for Field Scale WHeat Yield Estimation
This study presents a novel framework, WHYe (WHeat Yield estimation), for estimating
wheat yield at the field scale using unmanned aerial vehicle (UAV) multispectral and in-field …
wheat yield at the field scale using unmanned aerial vehicle (UAV) multispectral and in-field …
TranSEF: Transformer Enhanced Self-Ensemble Framework for Damage Assessment in Canola Crops
Crop health monitoring is crucial for implementing timely and effective interventions that
ensure sustainability and maximize crop yield. Flea beetles (FB), Crucifer (Phyllotreta …
ensure sustainability and maximize crop yield. Flea beetles (FB), Crucifer (Phyllotreta …
[PDF][PDF] Spinel: a framework for counting wheat spikes and kernels using UAV and ground-based imaging in breeding fields
A Mohammed - 2024 - ourspace.uregina.ca
Quantifying wheat spikes and kernels is crucial for evaluating the grain yield potential of
diverse breeding lines. It enables breeders to measure grain yield and select superior …
diverse breeding lines. It enables breeders to measure grain yield and select superior …