Green Industries Without Institutional Support—The Case of the Danish Wine Industry
Tijdschrift voor Economische en Sociale Geografie, EarlyView.Abstract Green regional industries are increasingly recognised as pivotal in addressing diverse environmental crises. While the role of institutions in fostering green industries is well‐established, limited research exists on the dynamics of green industry creation without institutional support.
Anika Zorn, Susann Schäfer
wiley +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 +12 more
wiley +1 more source
Grape Seeds: Chromatographic Profile of Fatty Acids and Phenolic Compounds and Qualitative Analysis by FTIR-ATR Spectroscopy. [PDF]
Foods, 2019 Lucarini M +13 more
europepmc +1 more source
Mechanical Properties of Grape Seeds
Food Engineering Progress, 2002 Won-Jong Park +4 more
openaire +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 +3 more
wiley +1 more source
A systematic color correction pipeline for controlled‐environment imaging
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
Bio-Based Compounds from Grape Seeds: A Biorefinery Approach. [PDF]
Molecules, 2018 Lucarini M +5 more
europepmc +1 more source
Combining phenomic and genomic selection for pea breeding improvement
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Pea (Pisum sativum L.) is a strategic crop in the development of sustainable agriculture. However, the genetic gain remains limited despite advances in breeding. Genomic selection holds promise to accelerate varietal improvement, but its high implementation cost restricts its use in crops.
Anthony Klein +15 more
wiley +1 more source
Flavanol Glycoside Content of Grape Seeds and Skins of Vitis vinifera Varieties Grown in Castilla-La Mancha, Spain. [PDF]
Molecules, 2019 Pérez-Navarro J +5 more
europepmc +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source