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  • Open Access

    ARTICLE

    Automatic Detection and Classification of Insects Using Hybrid FF-GWO-CNN Algorithm

    B. Divya*, M. Santhi

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1881-1898, 2023, DOI:10.32604/iasc.2023.031573

    Abstract Pest detection in agricultural crop fields is the most challenging task, so an effective pest detection technique is required to detect insects automatically. Image processing techniques are widely preferred in agricultural science because they offer multiple advantages like maximal crop protection, improved crop management and productivity. On the other hand, developing the automatic pest monitoring system dramatically reduces the workforce and errors. Existing image processing approaches are limited due to the disadvantages like poor efficiency and less accuracy. Therefore, a successful image processing technique based on FF-GWO-CNN classification algorithm is introduced for effective pest monitoring and detection. The four-step image… More >

  • Open Access

    REVIEW

    A Review of Various Sources of Chitin and Chitosan in Nature

    Benedict Terkula Iber1,2,*, Nor Azman Kasan1,*, Donald Torsabo1,2, Jenifer Wese Omuwa2

    Journal of Renewable Materials, Vol.10, No.4, pp. 1097-1123, 2022, DOI:10.32604/jrm.2022.018142

    Abstract Chitin was first discovered by its name from the Greek word “chiton”, which means “mail coat”. It is indeed a polysaccharide made up of naturally occurring acetyl-D-glucosamine monomers. Hatchett was the first researcher who extracted chitin from the shells of mollusks (crabs and lobsters), prawns, and crayfish in 1799. Later in 1811, Henri Braconnot discovered chitin in the cell walls of mushrooms and called it “fungine”. Chitin and chitosan are abundant in the biosphere as essential components of many organisms’ exoskeletons and as by-products of the global seafood industry. The biopolymer must be deacetylated before chitosan can be produced. It… More >

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