Results 251 to 260 of about 1,896,429 (329)

Estimating the botanical composition of bahiagrass–rhizoma peanut pastures using aerial multispectral imagery and deep learning

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Estimating the botanical composition in mixed pastures is challenging due to resource‐intensive sampling methods overlooking grassland spatial variability. We aimed to (I) classify bahiagrass (Paspalum notatum Flügge) and rhizoma peanut (Arachis glabrata Benth.) in grass–legume pastures using aerial multispectral imagery and machine learning, (
Igor L. Bretas, Chang Zhao, Jose C. B. Dubeux Jr., Yu Xin, Zhou Tang, Kevin R. Trumpp, Javier P. Acuna, Ian M. Small, Cleber H. L. de Souza   +8 more
wiley   +1 more source

Small UAV Target Detection Algorithm Using the YOLOv8n-RFL Based on Radar Detection Technology. [PDF]

Sensors (Basel)
Shi Z, Lei Z.
europepmc   +1 more source

Drone‐imaging assisted genome‐wide association studies reveal key quantitative trait loci for emergence and late blight resistance in tetraploid potato

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Solanum tuberosum L. (potato) is the world's most important vegetable crop, and developing improved cultivars is paramount for global food security. The efficacy of the genomic prediction models that accelerate breeding and genome‐wide association studies (GWAS) depends on large, high‐quality phenotypic datasets, which are often associated ...
Trine Aalborg, Mathias Timmermann Christiansen, Hélène Romé, Aakash Chawade, Merethe Bagge, Kåre Lehmann Nielsen   +5 more
wiley   +1 more source

Editorial: Advanced methods, equipment and platforms in precision field crops protection, volume II. [PDF]

Front Plant Sci
Zhang Z, Yang N, Yuen P, Zhang J, Ni J.
europepmc   +1 more source

Lightweight and mobile artificial intelligence and immersive technologies in aviation. [PDF]

Vis Comput Ind Biomed Art
Wild G, Nanyonga A, Iqbal A, Bano S, Somerville A, Pollock L.   +5 more
europepmc   +1 more source

Autonomous Vision-Based Object Detection and Tracking System for Quadrotor Unmanned Aerial Vehicles. [PDF]

Sensors (Basel)
Gharsa O, Touba MM, Boumehraz M, Agram N.   +3 more
europepmc   +1 more source

Dynamics simulation and autonomous driving algorithm integration of unmanned harvester based on TruckSim/Simulink. [PDF]

Front Plant Sci
Sun L, Wang Q, Kong Z, Feng W, Xu T, Yu G.   +5 more
europepmc   +1 more source

Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence. [PDF]

Sensors (Basel)
Liu S, Shan N, Bao X, Xu X.
europepmc   +1 more source