Results 171 to 180 of about 16,752 (252)

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

The quality of artificial grasslands in alpine regions is controlled by crop photosynthesis under different fertilization conditions. [PDF]

Sci Rep
Feng TX, Li F, Lin WS, Zhang L, Xiang XM, Wei XJ, De KJ.   +6 more
europepmc   +1 more source

Advancing Thermotolerance in Beans: Integrating Physiology, Genomics, and Breeding for Climate Adaptation

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Rising global temperatures increasingly threaten bean production and the food security of millions of people who depend on these protein‐rich legumes. Heat stress during the reproductive stages induces pollen sterility, flower abscission, and disruptions in source–sink relationships, resulting in yield losses of 30%–40% or more when critical ...
Aastha Sharda, Shikha Chaudhary, Bhawna Kumari, Uday C. Jha, Mohar Singh, Inderjit Singh, Kamal Dev Sharma, Kadambot H. M. Siddique, P. V. Vara Prasad, Harsh Nayyar   +9 more
wiley   +1 more source

Geospatial assessment of habitat degradation and climate impacts on migratory crane habitat in Pakistan's Wetland ecosystems. [PDF]

Sci Rep
Suliman M, Hongxue L, Khalid F, Qingming W, Xueying S, Hussain M, Hongfei Z, Ahmad T, Ullah I, Ullah S.   +9 more
europepmc   +1 more source

Spatial metrics in fire ecology: seeking consistency amidst complexity

Biological Reviews, Volume 101, Issue 4, Page 1641-1661, August 2026.
ABSTRACT Technological advances, including remote sensing, have led to a proliferation of metrics used in ecological studies to examine spatial patterns of fire regimes and their ecological effects. Researchers can use many different metrics to analyse spatial variation in both fire events and resulting fire regimes, including fire size, shape ...
Alexander R. Carey, Geoffrey J. Cary, Teigan Cremona, Hugh F. Davies, Brett P. Murphy, Sam C. Banks   +5 more
wiley   +1 more source

Sanitation felling against the European spruce bark beetle: A matter of intensity and forest type Tagli fitosanitari contro il bostrico tipografo: una questione di intensità e tipologia forestale

Agricultural and Forest Entomology, Volume 28, Issue 3, Page 382-397, August 2026.
We assess the effect of sanitation felling performed in 2022 in North‐Eastern Italy on bark beetle damage that occurred in 2023 across eight spruce forest types, as evaluated using multispectral satellite imagery. Bark beetle damage was reduced only at very high or very low sanitation felling rates.
Aurora Bozzini, Michele Missoni, Giacomo Santoiemma, Iris Bernardinelli, Rinaldo Comino, Massimo Faccoli   +5 more
wiley   +1 more source

Spatially heterogeneous thermal responses to urban form and greening: A multi-model analysis of seasonal and diurnal dynamics in beijing. [PDF]

iScience
Zheng H, Li Y, Li C, Su X, Jin J.
europepmc   +1 more source

Integrating remote‐sensing and meteorological data to identify key drivers of the potential distribution of a grassland grasshopper

Ecological Entomology, Volume 51, Issue 4, Page 639-653, August 2026.
An ensemble model achieved excellent accuracy (AUC = 0.973) in predicting the potential distribution of O. decorus asiaticus. Climate (temperature & August precipitation) and vegetation type are the primary drivers defining the species' suitable habitats.
Du Bobo, Han Haibin, Yue Fangzheng, Bai Haihua, Gao Shujing, Bao Yuhai   +5 more
wiley   +1 more source

Time-dependent effects of beavers on terrestrial invertebrate biomass and diversity. [PDF]

iScience
Gintberg MM, Bahrndorff S, Andersen LH.
europepmc   +1 more source

Detecting cotton Verticillium wilt within and across multiple fields with Sentinel‐2 imagery and machine learning

Agronomy Journal, Volume 118, Issue 4, July/August 2026.
Abstract Verticillium wilt, caused by Verticillium dahliae, poses a major threat to cotton production worldwide. This study presents a framework for predicting Verticillium wilt incidence across multiple cotton fields by combining Sentinel‐2 imagery, preseason inoculum, and weather variables with machine learning models.
Abhasha Joshi, Thomas Bishop, Tim Weaver, Ratneel Deo, Patrick Filippi   +4 more
wiley   +1 more source