Results 251 to 260 of about 85,215 (307)

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cobber   +4 more
wiley   +1 more source

Estimation of the rice aboveground biomass based on the first derivative spectrum and Boruta algorithm. [PDF]

Front Plant Sci
Nian Y, Su X, Yue H, Zhu Y, Li J, Wang W, Sheng Y, Ma Q, Liu J, Li X.   +9 more
europepmc   +1 more source

Impact of Crude Oil Contamination on Green Leafy Vegetables: Nutritional and Health Risk Assessments

Remediation Journal, Volume 36, Issue 2, Spring 2026.
ABSTRACT For decades, crude oil spills have been a serious environmental challenge which have led to the establishment of crude oil remediation intervention values (CRIV) by different national agencies to regulate the release of toxic petroleum hydrocarbons via these spills.
Johnson Oluwaseun Odukoya, Ronnie Lambert, Ruben Sakrabani   +2 more
wiley   +1 more source

Mapping rapeseed (Brassica napus L.) aboveground biomass in different periods using optical and phenotypic metrics derived from UAV hyperspectral and RGB imagery. [PDF]

Front Plant Sci
Sun C, Zhang W, Zhao G, Wu Q, Liang W, Ren N, Cao H, Zou L.   +7 more
europepmc   +1 more source

Current Knowledge on Phytoremediation Potential of Industrial Hemp (Cannabis sativa L.) for PFAS and Heavy Metal Contaminated Soils

Remediation Journal, Volume 36, Issue 2, Spring 2026.
ABSTRACT This review synthesizes current research on the phytoremediation potential of industrial hemp (Cannabis sativa L.) for heavy metals, including arsenic, aluminium, mercury, copper, lead, cadmium, nickel, and zinc, as well as per‐ and polyfluoroalkyl substances (PFAS), commonly referred to as “forever chemicals.” A structured and transparent ...
Omid Ansari, Luca De Prato
wiley   +1 more source

Climate and soil stressed elevation patterns of plant species to determine the aboveground biomass distributions in a valley-type Savanna. [PDF]

Front Plant Sci
He G, Shi Z, Fang H, Shi L, Wang Y, Yang H, Yan B, Yang C, Yu J, Liang Q, Zhao L, Jiang Q.   +11 more
europepmc   +1 more source

Hybrid machine learning models for aboveground biomass estimations

Ecological Informatics
Quang-Thanh Bui, Quang-Tuan Pham, Van-Manh Pham, Van-Thuy Tran, Dinh-Hung Nguyen, Quoc-Huy Nguyen, Huu-Duy Nguyen, Nhung Thi Do, Van-Manh Vu   +8 more
openaire   +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