Results 201 to 210 of about 717,512 (282)

The impact of unmanned aerial vehicle applications on agricultural carbon emission. [PDF]

Sci Rep
Li X, Lu C.
europepmc   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

Organ transport via drones: A cold chain Indian innovation. [PDF]

Indian J Med Res
Shroff S, Rajagopal P, Kanvinde H, Chandrasekar G, Mishra N, Jairam J.   +5 more
europepmc   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Research progress on precision orchard yield estimation based on multi-source information perception sensors. [PDF]

Front Plant Sci
Rong Z, Ru Y, Zhang X, Fang S, Zhou H, Jiang X.   +5 more
europepmc   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

Stability Prediction for UGV Based on Drone-Borne LiDAR Terrain Mapping. [PDF]

Sensors (Basel)
Körmöczi D, Bércesi G, Pillinger G, Šarkan B, Kiss P.   +4 more
europepmc   +1 more source

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer, Benjamin Wittkop, Andreas Stahl, Olaf Sass, Gregor Welna, Hanna Tietgen, Rod J. Snowdon   +6 more
wiley   +1 more source

Increasing the trafficability of unmanned ground vehicles through intelligent morphing

, 2009
Prior, Stephen D., Odedra, Sid, Shen, Siu-Tsen, Karamanoglu, Mehmet   +3 more
core   +1 more source

Unmanned Aerial Vehicle Surveillance of Rooftop Aedes Breeding Sites Before Dengue Season - Dongguan City, Guangdong Province, China, 2024-2025. [PDF]

China CDC Wkly
Huang Z, He S, Xu G, Wang W, Li D, Zhong Y, Xie W, Xu L.   +7 more
europepmc   +1 more source