Agricultural Drone for Monitoring and Crop Disease Detection

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Sneha Paherwar; Shrishti Paherwar; Sakshi Mishra; Aman Patil; Saurav Anasane; Mirza Moiz Baig

Agricultural Drone for Monitoring and Crop Disease Detection

Authors: Sneha Paherwar, Shrishti Paherwar, Sakshi Mishra, Aman Patil, Saurav Anasane, Mirza Moiz Baig

Unique Paper ID: 151796
Volume: 8
Issue: 1
PageNo: 1081-1085

Keywords: CNN Image Processing Clustering

Abstract:
This paper propose a new approach of technology in agricultural field i.e. agricultural drone which works on monitoring the plant healthiness. The main approach of the research is to analyze the healthiness of plant and to detect the different diseases by applying neural network tool, image pre-processing method based on color changes, texture pattern, gradient, shape changes. After recognizing the disease, it will provide a medicament for it and analyze the defected region of the plant. This will be beneficial for farmer, which will ultimately meet the robust demand of todayâ€™s generation. Apart from this, there is an additional features of leaf classification. Some of the factors that can affect the whole field plants are some growth of unwanted plants, the growth of this plant canâ€™t be recognized initially but after classifying the leaves in the field majority of the leaves will be of same pattern but the different kind of leaves will be considered as unwanted plants by providing a dataset to the neural network.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 1081-1085

Agricultural Drone for Monitoring and Crop Disease Detection

Available:https://ijirt.org/article?manuscript=151796

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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