Results 131 to 140 of about 1,736,533 (257)
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 +12 more
wiley +1 more source
SMART: Speedy Measurement of Arabidopsis Rosette Traits
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu +5 more
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart +8 more
wiley +1 more source
EFFICIENT MARKETING OF BLUEBERRIES IN MISSISSIPPI AND LOUISIANA [PDF]
Fresh blueberries are sold through a marketing cooperative of the blueberry industry in Mississippi and Louisiana. Blueberry producers have numerous alternatives in assembling blueberries, and the cooperative needs to know the costs of different systems ...
Allen, Albert J., Muhammad, Safdar
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Philosophy of phenomic prediction and its incompatibility with causal inference
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann +2 more
wiley +1 more source
Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner +9 more
wiley +1 more source
Influence of soil type on half-highbush blueberry productivity
Agricultural and Food Science, 2012 The aim of the present study was to determine the influence of mineral and peat soil condition on the growth, yield and nutrient uptake of some half-highbush blueberry cultivars.
Tea Tasa +4 more
doaj
Phenomic prediction of club wheat milling yields
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Near‐infrared reflectance spectroscopy (NIRS) provides a nondestructive method for estimating physical and chemical grain properties and is widely used in breeding programs to phenotype traits such as texture, color, moisture, protein, and oil content. Club wheat (Triticum aestivum subsp.
Peter Schmuker +4 more
wiley +1 more source
NABREW 2014, Where it All Began: Atlantic City, New Jersey, June 23-26
, 2014 Program book of the 2014 North American Blueberry Research and Extension Workers Conference, held at the Sheraton Atlantic City (New Jersey) Convention Center Hotel.
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The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Blueberry (Vaccinium spp.) is among the most consumed soft fruits and an important source of health‐promoting compounds. Among the key traits driving selection in breeding programs, yield is the most important. The standard way to measure yield is harvesting and weighing the total number of berries, a process that is laborious, expensive ...
Matheus M. Suela +5 more
wiley +1 more source