My list of medically related anniversaries for 2026 includes William Withering’s Botany, The Botanical Arrangement of All the Vegetables Naturally Growing in Great Britain , which was published 250 ...
Abstract: Accurate plant identification is critical for applications such as automated agriculture and plant monitoring systems. However, traditional classification methods often face challenges in ...
Beneath the site of a future nuclear plant, archaeologists uncovered a sealed bundle untouched for nearly 1,000 years, ...
Nearly four decades ago, Francis Young, chief administrative law judge at the Drug Enforcement Administration (DEA), concluded that marijuana did not belong in Schedule I of the Controlled Substances ...
Rachael has a degree in Zoology from the University of Southampton, and specializes in animal behavior, evolution, palaeontology, and the environment. Rachael has a degree in Zoology from the ...
ABSTRACT: In Côte d’Ivoire, cocoa is an important source of income for the population and the state. However, its production has led to massive deforestation, reducing forest cover and the associated ...
It appears problems at Novo Nordisk’s recently acquired manufacturing facility in Indiana aren’t going to be solved any time soon. The FDA has tagged the former Catalent facility with an official ...
Immerse yourself in the mesmerizing world of plant growth in this captivating time lapse compilation. Over the course of 690 days condensed into just 9 minutes, watch as various plants sprout, unfold, ...
Non-specific lipid transfer proteins (nsLTPs) are vital and versatile components of plant cellular systems. They are characterized by a conserved eight-cysteine motif and are increasingly recognized ...
Rachael has a degree in Zoology from the University of Southampton, and specializes in animal behavior, evolution, palaeontology, and the environment. Rachael has a degree in Zoology from the ...
The temporal and spatial irregularity of plant diseases results in insufficient image data for certain diseases, challenging traditional deep learning methods that rely on large amounts of manually ...
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