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Analyzing Various Grape Diseases and Detection Techniques by Monitoring Environmental Parameters Through IoT and Machine Learning Approaches
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Author(s): Apeksha Ranjit Gawande (SGBAU Amravati, India), Swati Sherekar (SGBAU Amravati, India)and Ranjit Madhukar Gawande (Matoshri College of Engineering and Research Centre, Nashik, India)
Copyright: 2025
Pages: 16
Source title:
Machine Learning for Environmental Monitoring in Wireless Sensor Networks
Source Author(s)/Editor(s): Parikshit N. Mahalle (Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Pune, India), Dattatray G. Takale (Vishwakarma Institute of Information Technology, India), Sachin Sakhare (Vishwakarma Institute of Information Technology, India)and Ganesh B. Regulwar (Vardhaman College of Engineering, India)
DOI: 10.4018/979-8-3693-3940-4.ch008
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Abstract
Grape is one of the significant business organic product crop developed on an enormous assortment of soil. Grapes are a vitally important agricultural commodity, cultivated on a great diversity of soil types. In the field of agriculture crop diseases are major factor causing to decrease its product. Grape diseases are also one of its which causes for less production of its fruit. Maharashtra is the predominant contributor to the total area of grape cultivation in India. As grape cultivation expands and becomes more extensive many types of insects enter the vineyard. Out of these 15-20 insect species were found to cause more damage in different areas. To control diseases pesticides are used. Unnecessary use of pesticides increase cost of production and may lead to residues in the final produce, as well as in the soil and water. To control these diseases at early stage devices are ready to evaluate climate condition for timely diagnosis and precise detection of grape leaf diseases. In this review, we examine and appraise the recent information pertaining to these diseases, and provide guidance concerning the control of the associated grapevine diseases.
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