Researchers have developed a "homing gene drive system" based on CRISPR/Cas9 that could be used to suppress populations of Drosophila suzukii vinegar flies -- so-called "spotted-wing Drosophila" that devastate soft-skinned fruit in North America, Europe and parts of South America -- according…
Estimating the fraction of absorbed photosynthetically active radiation (FAPAR) is essential for tracking crop photosynthesis, growth and yield potential. Unmanned aerial vehicle (UAV) multispectral imagery offers an efficient way to map FAPAR, but vegetation index (VI)-based methods often struggle with…
Victor Gallegos walked over to our table and said John — that’s John P. Muñoz, mayor pro tem of Las Cruces — would be with us soon. John had called, told Victor to look for two newcomers and said he’d be there…
A computational workflow named CELLIA pairs statistical differential expression metrics with curated marker databases to improve the accuracy and consistency of large language model cell type annotations across single-cell RNA sequencing datasets. Subject of Research: Automated cell type annotation in…
What building an AI-assisted meal scanner taught us about uncertainty, user control, and the difference between a working model and a useful product. It doesn't tell you whether the rice weighs 150 or 250 grams. It doesn't tell you about the ingredients…
The framework also introduced a stand structure prediction model based on two-period inventory data to establish a closed-loop feedback mechanism of optimization, prediction, and re-optimization. This mechanism enables the dynamic adjustment of stand structure over time. Multiple stand spatial structure…
Earth system models have issues representing groundwater at global scales. Researchers found that using machine learning to calibrate models improved how well the Energy Exascale Earth System Model modeled GWTD but didn’t consistently improve how it represented other variables related…
A systematic review published in Discover Networks evaluates 62 research papers on intelligent wireless sensing architectures designed for AI-enabled maize disease monitoring. The study, authored by Kayombo Sakachiva, Jackson Phiri, and Mayumbo Nyirenda, synthesizes literature from January 2019 to 2026 Subject of Research:…
A new deep learning framework improves pig weight estimation by jointly modeling body weight and posture, achieving lower errors than previous methods in unconstrained farming conditions. Joint Modeling Improves Pig Weight Estimation Across Postures Subject of Research: Deep learning for…
Researchers combined hyperspectral imaging with explainable machine learning to accurately identify authentic Rubia cordifolia medicinal roots and trace their geographical origin across Chinese producing regions.
AI in farming and food: precision agriculture, crop and livestock monitoring, agtech, food makers and restaurants.
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