Results 171 to 180 of about 63,899 (256)

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

Consecutive monoculture of sweet potato reduces yield due to deteriorated soil health and disrupted nutrient cycling. [PDF]

Front Microbiol
Chen C, Shi Y, Zheng M, Han S, Zhang J, Sun Z, Yue Z.   +6 more
europepmc   +1 more source

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

Biochar enhances cucumber production by modulating rhizosphere microbiota and soil metabolites under continuous cropping systems. [PDF]

Front Plant Sci
Xue G, Hu Y, Xue H, Wang X, Bai H, Du J, Wang Y, Huo H, Li M, Jiang W.   +9 more
europepmc   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

The Effect of Indigenous Cultivable Microorganism Inoculation on Soil Microecology During Restoration of Obstructed Soils. [PDF]

Microorganisms
Ma Q, Zhang B, Cui J.
europepmc   +1 more source

The New Economics of Cape Slavery

South African Journal of Economics, Volume 94, Issue 4, December 2026.
ABSTRACT In this survey, I argue that the Cape Colony has become one of the most useful settings for studying the economics of unfree labour. The Cape offers a distinctive combination: a slavery regime linking the Indian Ocean and Atlantic worlds, an urban and agrarian economy, overlapping labour regimes and archives rich enough for linked micro‐data ...
Johan Fourie
wiley   +1 more source

Metagenomic and metabolomic insights into the rhizosphere of <i>Paeonia suffruticosa</i> 'Luoyang Hong' across a continuous cropping chronosequence. [PDF]

Front Plant Sci
Sun K, Wang F, Niu T, Wang H, Liu Y, Guo L, Wang X, Hou X.   +7 more
europepmc   +1 more source

Integrating Circular Economy and Regenerative Agricultural Practices on Farms in a Developing Country Context

Business Strategy &Development, Volume 9, Issue 3, September 2026.
ABSTRACT The current state of agricultural production is characterised by a linear model of production and consumption, which has led to negative environmental consequences. In Argentina, the agricultural sector plays a crucial role in the economy, particularly in the Pampas region.
A. A. Rodríguez, R. Cerchione, G. C. Rótolo, L. Magnano, R. Passaro   +4 more
wiley   +1 more source

Improved Cultivars and the Application of Combined Fertilizer Improve the Grain Yield and the Nitrogen Uptake and Utilization in Continuously Cropped Soybean (<i>Glycine max</i> (L.) Merr.). [PDF]

Plants (Basel)
Liu W, Rao D, Xie F, Wang H, Yao X.
europepmc   +1 more source