Results 141 to 150 of about 2,066 (260)

AI foundation models in plant biology

open access: yesNew Phytologist, EarlyView.
Foundation models decode genomes, engineer proteins, phenotype crops, and drive AI agents across plant biology. This figure was created in BioRender (BioRender.com/xcmmkel). Summary Rapid technological progress has enabled plant biologists to accumulate unprecedented volumes of multi‐scale, multi‐modal data, yet this abundance of data has intensified ...
Haopeng Yu
wiley   +1 more source

Epistemological Friction: Embodied Expertise and the ‘Last Mile’ of Agricultural Automation in the US Tree‐Fruit Industry

open access: yesNew Technology, Work and Employment, EarlyView.
ABSTRACT Autonomous and AI‐driven agricultural technology is often framed as a panacea for labour dependency. While proponents envision autonomous technologies seamlessly optimising farming, this rationalised model misunderstands the reality of on‐farm integration.
M. Anne Visser, Alex Bladimir Hernandez
wiley   +1 more source

A Journey Between Science and the Arts: Templates for the Depiction of the Pineapple (Sixteenth to Eighteenth Centuries)

open access: yesRenaissance Studies, EarlyView.
ABSTRACT Native to America, the pineapple—Ananas comosus (L.) Merr.—delighted the Europeans who came across it. The fruit was mentioned by the voyagers and missionaries who observed and tasted it in the Americas and, from the 1500s onwards, infused reports, chronicles and natural history treatises with colour and flavour.
Teresa Nobre de Carvalho
wiley   +1 more source

Genetic diversity in soybean [Glycine max (L.) Merr.] genotypes based on agro‐morphological traits using univariate and multivariate statistical techniques

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] is a versatile leguminous crop that plays a vital role in biodiesel production, livestock feed, and enhancing global food security. Soybean production and productivity in Ethiopia are low compared to the national potential, mainly due to the lack of high‐yielding genotypes.
Yechalew Sileshi
wiley   +1 more source

Climate characteristics and trend analyses over major tef‐growing areas in Ethiopia

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract This study aimed to understand the characteristics of seasonal rainfall and temperature over major tef‐growing areas in Ethiopia. The daily weather data were analyzed using statistical methods, including the Mann–Kendall test and Sen's slope estimator.
Endalew Assefa Abera   +1 more
wiley   +1 more source

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