Results 281 to 290 of about 207,288 (348)

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

Plant protection treatments in Switzerland using unmanned aerial vehicles: regulatory framework and lessons learned. [PDF]

Pest Manag Sci
Anken T, Coupy G, Dubuis PH, Favre G, Geiser HC, Gurba A, Häni M, Hochstrasser M, Landis M, Maitre T, Moor C, Mouron P, Sanvido O, Wagner Y, Zarn JA, König SLB.   +15 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

Intelligent Wireless Sensor Network Sensor Selection and Clustering for Tracking Unmanned Aerial Vehicles. [PDF]

Sensors (Basel)
Cefai EJ, Coombes M, O'Boy D.
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

Estimating the full-period rice leaf area index using CNN-LSTM-Attention and multispectral images from unmanned aerial vehicles. [PDF]

Front Plant Sci
Li H, Yue L, Luo S.
europepmc   +1 more source

Aquatic macrophytes as nature‐based solutions: Challenges and opportunities across inland and coastal waters

Limnology and Oceanography Letters, Volume 11, Issue 4, July 2026.
Abstract Macrophytes are foundation species whose use as nature‐based solution (NbS) in aquatic ecosystems can help reduce climate change impacts while mitigating biodiversity loss. The discrepancy in research and application of macrophytes as NbS across inland and marine coastal ecosystems is an opportunity to expand the concept and learn from ...
Morgan Botrel, Roxane Maranger, Lindsay L. Trottier, Mathieu Cusson, Lars L. Iversen, Fanny Noisette, Christian Nozais, Katrine Turgeon, Andrea Bertolo, Thibaud André‐Alphonse, Simon Bélanger, Arthur de Grandpré, Jean‐Olivier Goyette, Sabine Hilt, Ladd Johnson, Valérie Langlois, Martin Laporte, Félix Lauzon, Brigitte Légaré, Anne Ola, Marie‐Pomme Presne‐Poissant, Matthieu Prugne, Caroline Susini, Richard Zimmerman, Irene Gregory‐Eaves   +24 more
wiley   +1 more source

High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits. [PDF]

Plant Phenomics
Lu J, Qi Q, Zheng G, Eitel JUH, Zhang Q, Zhang J, Chen S, Zhang F, Fang W, Guan Z, Chen F.   +10 more
europepmc   +1 more source

Generative Semantic Communication for Efficient Utilization of Satellite Resources in 6G

International Journal of Satellite Communications and Networking, Volume 44, Issue 4, Page 368-377, July/August 2026.
ABSTRACT In this paper, a two‐stage resource allocation framework is proposed for generative semantic communication (GSC)–enabled multibeam satellite systems. By integrating semantic compression and generative artificial intelligence, GSC enables efficient downlink transmission by allowing users to reconstruct content from compressed semantic prompts ...
Hyein Lee, Sooyoung Kim, Heewook Kim, Jihong Park, Jinho Choi, Daesub Oh   +5 more
wiley   +1 more source

Task Planning of Multiple Unmanned Aerial Vehicles Based on Minimum Cost and Maximum Flow. [PDF]

Sensors (Basel)
Shi X, Zhai X, Wang R, Le Y, Fu S, Liu N.   +5 more
europepmc   +1 more source