Results 181 to 190 of about 109,697 (288)

Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case Study From Langtang National Park, Nepal Himalaya. [PDF]

Ecol Evol
Pokhrel S, Thakuri S, Subedi CK, Kunwar RM, Sharma KP, Chaudhary RP, Ghimire SK.   +6 more
europepmc   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Enhanced Cropland SOM Prediction via LEW-DWT Fusion of Multi-Temporal Landsat 8 Images and Time-Series NDVI Features. [PDF]

Sensors (Basel)
Ning L, Li D, Xia Y, Xiao E, Han D, Yan J, Dong X.   +6 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Flash droughts exacerbate global vegetation loss and delay recovery. [PDF]

Nat Commun
Chai Y, Miao C, AghaKouchak A, Pokhrel Y, Fu Y, Li X, Ji J, Zhang Q, Peñuelas J.   +8 more
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Remote sensing assessment of vegetation and moisture dynamics in semi-arid regions. [PDF]

Sci Rep
Kreri S, Farhi N, Bennia A, Derdour A, Kébir LW, Alharbi KM, Bojer AK, Arafat AA.   +7 more
europepmc   +1 more source

Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract Accurate operational predictions of cereal rye (Secale cereale L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning‐based biomass prediction models using two advanced gradient‐boosted tree
Utsab Ghimire, Alakananda Mitra, David Fleisher, John Park, Jinyoung Y. Barnaby, Yonghyun Kim, Eunjin Han   +6 more
wiley   +1 more source

Crop classification method for multi-temporal remote sensing imagery based on a (3 + 2)D SAFPN. [PDF]

Front Plant Sci
Sun Y, Zhao T, Zhang Y, Yu X, Zhang L, Bai Y.   +5 more
europepmc   +1 more source

Catchment rehabilitation and hydro-geomorphic characteristics of mountain streams in the western Rift Valley escarpment of Northern Ethiopia [PDF]

, 2016
Asfaha, Tesfaalem-Ghebreyohannes, Frankl, Amaury, Haile, Mitiku, Nyssen, Jan   +3 more
core   +2 more sources