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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    A BRIEF SURVEY ON APPLYING NEW INNOVATIVE TECHNIQUES TO IDENTIFYING CROP YIELD IMPROVEMENT USING INSECT IMAGES
    R.Padmavathi1, Dr.K.Kavitha2
    Journal of Data Acquisition and Processing, 2023, 38 (2): 4104-4111 . 

    Abstract

    Insects are serious risk to food security in India not over in India, including other Asian nations; Insects pose a serious danger to food security in over all nation. One-fifth of the world's total crop production is annually destroyed by herbivorous insects. Natural fibbers that feed on insects and damage wooden construction materials They also have a significant impact on the health of people and domestic animals by creating annoyance, inflicting bites and stings, and spreading illness. Examples include rain stored grain and accurate the process of decoy. There is a negative impact of insects on crop productivity. While some insects drain the cell sap to prevent bees from aiding in pollination, others clip the plant components, restricting their growth. Some insects are even referred to as "borers" since they reduce agricultural yields overall. In this research, we discussed various papers, conducted a brief survey to classify and describe the results, and made recommendations for the best approach to apply to classifying insects, using augmentation techniques, and how to increase crop yield in recent years. Being able to identify insects to see around the farm helps to identify and categorise of the insect is very dangerous an urban agricultural pest.

    Keyword

    Insects, Crops, Classification, Augmentation Techniques.


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ISSN 1004-9037

         

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