Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh

“…The quantized model produced using Post-Training Quantization was able to maintain a classification accuracy of 59.6% while also reducing the model size from 33 MB to 9.6 MB, thus demonstrating that our solution maintains a competitive performance across a broader range of insect classes.…”
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Cimiciato defect detection in hazelnuts: CNN models applied on X-ray images by Andrea Vitale, Matteo Giaccone, Antonio Gaetano Napolitano, Flavia de Benedetta, Laura Gargiulo, Giacomo Mele

“…Hazelnuts are a significant crop with an increasing importance, especially for confectionery industry. Insect damages affect hazelnut quality, requiring post-harvest selection based on industrial quality standards which often exceed official regulations. …”
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Multimodal Approaches Based on Microbial Data for Accurate Postmortem Interval Estimation by Sheng Hu, Xiangyan Zhang, Fan Yang, Hao Nie, Xilong Lu, Yadong Guo, Xingchun Zhao

“…These shifts, especially the transition from anaerobic to aerobic microbiomes, can objectively segment decomposition into pre- and post-rupture stages according to rupture point. Microbial communities change markedly after death, with anaerobic bacteria dominating early stages and aerobic bacteria prevalent post-rupture. …”
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Over Time Changes in the Transcriptomic Profiles of Tomato Plants with or Without <i>Mi-1</i> Gene During Their Incompatible or Compatible Interactions with the Whitefly <i>Bemisia... by Susana Pascual, Clara I. Rodríguez-Álvarez, Irene López-Vidriero, José M. Franco-Zorrilla, Gloria Nombela

“…Both interactions were studied 2 and 12 days post infestation (dpi) of plants with adult insects. …”
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