AI Reads Nematode Body Shapes to Identify Devastating Crop Parasites
A hybrid deep learning framework that fuses handcrafted morphological measurements with convolutional image features identified two destructive root-knot nematode species ...
A hybrid deep learning framework that fuses handcrafted morphological measurements with convolutional image features identified two destructive root-knot nematode species ...
A study combining sequence analysis, molecular simulations and potato experiments found predicted ivermectin binding to conserved nematode β-tubulin and reduced ...
The career of Swiss entomologist Jacques Derron demonstrated how ecological research, biological control and carefully calibrated intervention thresholds can make ...
A new review maps how endophytic microbes defend crops against insect pests, while warning that inconsistent colonization, environmental sensitivity, and ...
A new spatial modeling study estimates that parasitic Striga weeds cost African maize farmers about US$1.04 billion annually and shows ...
Wireworms, the subterranean larvae of click beetles in the genus Agriotes, are among the most stubborn pests in European agriculture. ...
A sweeping review maps the transcriptional, post-transcriptional, translational and post-translational switches that could let scientists program broad-spectrum disease resistance into ...
A new review in Plant Molecular Biology defines plant multifunctional inhibitors as a distinct class of double-headed defense proteins and ...
Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy, ...
Researchers have unveiled an explainable deep learning framework that detects insect crop pests in real time with up to 98 ...
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© 2025 Scienmag - Science Magazine