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Hangfei He, Junyang Chen, Hongkun Chen, Borui Zeng, Yutong Huang, Yudan Zhaopeng and Xiaoyan Chen
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Nithin Kumar, Nagarathna and Francesco Flammini
The most incredible diversity, abundance, spread, and adaptability in biology are found in insects. The foundation of insect study and pest management is insect recognition. However, most of the current insect recognition research depends on a small numb...
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Ana Cláudia Teixeira, José Ribeiro, Raul Morais, Joaquim J. Sousa and António Cunha
Globally, insect pests are the primary reason for reduced crop yield and quality. Although pesticides are commonly used to control and eliminate these pests, they can have adverse effects on the environment, human health, and natural resources. As an alt...
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Querriel Arvy Mendoza, Lester Pordesimo, Mitchell Neilsen, Paul Armstrong, James Campbell and Princess Tiffany Mendoza
In this study, a basic insect detection system consisting of a manual-focus camera, a Jetson Nano?a low-cost, low-power single-board computer, and a trained deep learning model was developed. The model was validated through a live visual feed. Detecting,...
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Lili Yang, Changlong Wang, Jianfeng Yu, Nan Xu and Dongwei Wang
Peanuts are prone to insect damage, breakage, germination, mildew, and other defects, which makes the quality of peanuts uneven. The difference in peanut pod quality makes the price and economic benefit also have a big difference. The classification of p...
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Caiwang Peng, Ting Zhou, Shisheng Song, Songlin Sun, Yulong Yin and Daojun Xu
In this study, a differential separation roller screen was developed, and the nail teeth and the screen were rotated coaxially with reverse directions. The mixture of black soldier fly sand with a certain moisture content was more effectively separated, ...
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Iftikhar Ahmad, Yayun Yang, Yi Yue, Chen Ye, Muhammad Hassan, Xi Cheng, Yunzhi Wu and Youhua Zhang
Insect pests are a major element influencing agricultural production. According to the Food and Agriculture Organization (FAO), an estimated 20?40% of pest damage occurs each year, which reduces global production and becomes a major challenge to crop pro...
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John Efromson, Roger Lawrie, Thomas Jedidiah Jenks Doman, Matthew Bertone, Aurélien Bègue, Mark Harfouche, Dominic Reisig and R. Michael Roe
Rapid, accurate insect identification is the first and most critical step of pest management and vital to agriculture for determining optimal management strategies. In many instances, classification is necessary within a short developmental window. Two e...
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Wan Teng Tey, Tee Connie, Kan Yeep Choo and Michael Kah Ong Goh
Traditional methods used to identify and monitor insect species are time-consuming, costly, and fully dependent on the observer?s ability. This paper presents a deep learning-based cicada species recognition system using acoustic signals to classify the ...
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Kai Ma, Ming-Jun Nie, Sen Lin, Jianlei Kong, Cheng-Cai Yang and Jinhao Liu
Accurate identification of insect pests is the key to improve crop yield and ensure quality and safety. However, under the influence of environmental conditions, the same kind of pests show obvious differences in intraclass representation, while the diff...
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