4 results for “Pest Classification”

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Research ArticleOpen accessIn the keywordsAn Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) AlgorithmD. Lita Pansy, M. MuraliMangoes are fruits that originated in South and Southeast Asia. Mango fruits are consumed in high volume worldwide. However, fruit, stem, root, and mango leaves are damaged by pests, and it has a significant negative impact on mango production. Many works were developed for the pest detection of mango; but, none of the works concentrated on the practical applicability and … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,063 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision SystemsDeebalakshmi R., Adhithyaa S., Yoga Vignesh V., Balaji Ganesh RajagopalFarmers started to adopt smart gadgets like automated pest detection and kiosks for their work in light of the AI revolution in agriculture. These kinds of technologies help farmers identify pest infestations early, which allows the farmers to take action accordingly and prevent crop loss. This results in improvement in both yield and sustainability. However, running an advanced model such … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Jan 2026 · 2,640 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBionic Technology and Deep Learning in Agricultural Engineering: Current Status and Future ProspectsChunlei Tu, Jinxia Li, Xingsong Wang et al.As one of the most important production activity of mankind, agriculture plays an important role in social development. With the development of science and technology, agricultural technology has constantly been explored and researched. By learning and imitating the characteristics of creatures in nature, bionic technology has been applied to the improvement of agricultural machinery and farm implements. In recent years, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 24 May 2021 · 6,989 accessesView PDF Cite