Results 91 to 100 of about 1,854 (193)

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

High-Performance Parallel Direct Georeferencing for Massive ULS LiDAR Measurements

Remote Sensing
The rapid increase in point density and acquisition rate of UAV laser scanning (ULS) systems has shifted the primary bottleneck of LiDAR workflows from data acquisition to post-processing, particularly during direct georeferencing of massive LiDAR ...
Mei Yu, Yuhao Zhou, Hua Liu, Bo Liu
doaj   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Direct georeferencing and orthorectification of airborne digital images

, 2020
GPS/INS (Global Positioning System / Inertial Navigation System) bringspossibility of relaxing the demand for aerial triangulation in stereo modelconstruction and rectification. In this thesis a differential rectification algorithm isprogrammed with Matlab software for aerial frame camera images.
openaire   +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

Exploring Farmer Identity Pathways in Generational Renewal: Successors, Potential Successors and New Entrants

Sociologia Ruralis, Volume 66, Issue 4, October 2026.
ABSTRACT Generational renewal is increasingly recognised as a crucial challenge for the future of agriculture. Recent literature has placed growing emphasis on the importance of farmer identity as a key dimension shaping young people's interest in agriculture, their approach to farm management and their long‐term commitment.
Consentino Federica, Peri Iuri, Brunori Gianluca, McAreavey Ruth   +3 more
wiley   +1 more source

Application of a direct georeferencing method of drone images for smart farming

agricultural engineering.eu
In smart farming, information collected by autonomous devices needs to be related to its exact field location, that is, georeferenced. In this work, we study the applicability and accuracy of a simplified direct georeferencing method of drone images for
Ralph L. Stoop, Markus Sax, Dejan Seatovic, Thomas Anken   +3 more
doaj   +1 more source

Using Drones for Large Mammal Monitoring

Mammal Review, Volume 56, Issue 3, September 2026.
Drones were used to obtain video data on animals and locations and distance from the midline was automatically determined by our pipeline so that the input for Distance sampling is generated. ABSTRACT Introduction The emergence of drones has profoundly transformed the field of large mammal monitoring, offering unprecedented capabilities for data ...
Chaim Chai Elchik, Michael Hudson, Sam Buckland, Steven Longmore, Serge Wich   +4 more
wiley   +1 more source

FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps

Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems
Current software stacks for real-world applications of autonomous driving leverage map information to ensure reliable localization, path planning, and motion prediction. An important field of research is the generation of point cloud maps, referring to the topic of simultaneous localization and mapping (SLAM). As most recent developments do not include
Maximilian Leitenstern, Marko Alten, Christian Bolea-Schaser, Dominik Kulmer, Marcel Weinmann, Markus Lienkamp   +5 more
openaire   +2 more sources

MaxEnt Projections of Climate‐Driven Distribution Shifts for Daphniphyllum calycinum in China

Ecology and Evolution, Volume 16, Issue 8, August 2026.
Using an optimized MaxEnt model, this study projects climate‐driven distribution shifts of Daphniphyllum calycinum, an ecologically and medicinally important subtropical tree in China. Results reveal that annual mean temperature and dry season precipitation primarily govern its distribution, with future warming scenarios projecting significant habitat ...
Yangzhou Xiang, Suhang Li, Qiong Yang, Ying Liu, Bin Yao, Huilin Dong, Yuan Li   +6 more
wiley   +1 more source