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Machine vision solutions for monitoring pest snails in Australian no-till cropping fields: An exploration of spectral characteristics and detectability

• Authors : Huajian Liu; Kym D. Perry; Tien-Fu Lu

Subjects: Snail detection; Integrated pest management; Hyperspectral imaging

• Source: Journal of Agriculture and Food Research, Vol 16, Iss , Pp 101146- (2024)

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Machine vision solutions for monitoring pest snails in Australian no-till cropping fields: An exploration of spectral characteristics and detectability

• Authors : Huajian Liu

Subjects: Agricultural land management; snail detection; integrated pest management

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COMPARISON OF POTENTIAL ROAD ACCIDENT DETECTION ALGORITHMS FOR MODERN MACHINE VISION SYSTEM

• Authors : Byzkrovnyi, Oleksandr; Smelyakov, Kyrylo; Chupryna, Anastasiya

Subjects: Machine learning; machine vision; object detection

• Source: ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol. 3 (2023): Environment. Technology. Resources. Proceedings of the 14th International

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Deep learning supported machine vision system to precisely automate the wild blueberry harvester header

• Authors : Zeeshan Haydar; Travis J. Esau; Aitazaz A. Farooque

Subjects: Agricultural; veterinary and food sciences; Crop and pasture production

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Dragon fruit weight estimation based on machine vision and machine learning

• Authors : LIANG Ying-kai; SHANG Feng-nan; CHEN Qiao

Subjects: machine vision; machine learning; dragon fruit

• Source: Shipin yu jixie, Vol 39, Iss 7, Pp 99-103 (2023)

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A full-flow inspection method based on machine vision to detect wafer surface defects

• Authors : Naigong Yu; Hongzheng Li; Qiao Xu

Subjects: machine vision; wafer surface defect detection; machine learning

• Source: Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 11821-11846 (2023)

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Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture

• Authors : Jaemyung Shin; Md. Sultan Mahmud; Tanzeel U. Rehman

Subjects: stress; disease; machine visionagris

• Source: AgriEngineering; Volume 5; Issue 1; Pages: 20-39

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Smart Agriculture: A Fruit Flower Cluster Detection Strategy in Apple Orchards Using Machine Vision and Learning

• Authors : Joseph Lee; S. Andrew Gadsden; Mohammad Biglarbegian

Subjects: smart agriculture; machine vision; machine learningagris

• Source: Applied Sciences; Volume 12; Issue 22; Pages: 11420

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Design and Implementation of Machine Vision-Based Quality Inspection System in Mask Manufacturing Process

• Authors : Minwoo Park; Jongpil Jeong

Subjects: machine vision; quality inspection; quality assuranceagris

• Source: Sustainability; Volume 14; Issue 10; Pages: 6009

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Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture

• Authors : Jaemyung Shin; Md. Sultan Mahmud; Tanzeel U. Rehman

Subjects: stress; disease; machine vision

• Source: AgriEngineering, Vol 5, Iss 1, Pp 20-39 (2022)

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