Survey Paper on Smart Agriculture Assistant

Mrs. Bhagyashri Kadam; Ms. Sakshi Bhosale; Mr. Pratik Lavate; Mr. Harshad Shelar; Mr. Prasad Zadokar

Survey Paper on Smart Agriculture Assistant

Authors: Mrs. Bhagyashri Kadam, Ms. Sakshi Bhosale, Mr. Pratik Lavate, Mr. Harshad Shelar, Mr. Prasad Zadokar

Unique Paper ID: 169603
Volume: 11
Issue: 6
PageNo: 1289-1292

Keywords: Precision agriculture disease detection and categorization techniques.

Abstract:
A quickly emerging field, precision agriculture aims to address contemporary issues of agricultural sustainability. Precision agriculture relies on machine learning, a state-of-the-art technology that makes it possible to create sophisticated disease detection and categorization techniques. A review of the use of deep learning and machine learning methods in precision agriculture—more especially, their detection and classification of plant diseases—is presented in this study. All pertinent works are categorized in the related classes using our innovative classification scheme. Depending on whether the research employ classification or object detection as their methodology, we divide them into two major groups.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 1289-1292

Survey Paper on Smart Agriculture Assistant

Available:https://ijirt.org/Article?manuscript=169603

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Journal no 47859

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