Results 1 to 10 of about 4,291 (216)

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

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

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

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

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash, Jessie H. Adams, Javier Rodriguez‐Sanchez, John L. Snider, Phillip L. Vines, Brian M. Schwartz, Nino Brown   +6 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

Georeferencer: Crowdsourced Georeferencing for Map Library Collections

D-Lib Magazine, 2012
Christopher Fleet, Kimberly C. Kowal, Petr Pridal   +2 more
openaire   +2 more sources

Exploring Differences in Precision Agriculture Adoption: New and Beginning Farmers, and Established Farmers

Applied Economic Perspectives and Policy, Volume 48, Issue 4, Page 970-983, September 2026.
ABSTRACT This paper compares precision agriculture (PA) adoption between new and beginning farmers (NBFRs) and established farmers using data from a 2021 U.S. Midwest farmer survey. We focus on the human capital of two different groups of farmers in the PA adoption.
Whoi Cho, Oscar Sarasty, Tong Wang
wiley   +1 more source

Utilization of Remote Sensing Dataset and a Deep Learning Object Detection Model to Map Siam Weed Infestations

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing data are valuable for detecting, mapping, and managing invasive weed species. This article introduces an innovative algorithm for mapping Siam weed infestations using a bounding box approach from a deep learning object detection model ...
Zulfadli Mawardi, Deepak Gautam, Timothy G. Whiteside   +2 more
doaj   +1 more source

Participatory Mapping of Karajarri Sea Country Knowledge to Guide IPA Zoning and Ranger Management

Ecological Management &Restoration, Volume 27, Issue 3, September 2026.
ABSTRACT The expansion of Indigenous Protected Areas (IPAs) into coastal and marine environments requires spatial planning approaches that support Traditional Owner aspirations for Sea Country management while respecting Indigenous Cultural and Intellectual Property (ICIP).
Matilda Murley, Renae K. Hovey, Jane Prince, The Karajarri Rangers   +3 more
wiley   +1 more source