PAPER ID: IJIM/Vol. 8 (XII) April 2024/24-29/4

AUTHOR: Er. Anju Saini^[I] Dr. Parul Sharma^[II]Er. Khushboo Kamboj ^[III]

TITLE: PREDICTION OF DISEASES IN AGRICULTURE USING I.O.T AND MACHINE LEARNING

ABSTRACT: Machine Learning and internet of Things have added to a vast expansion in utilization of software engineering to complex science issues recently remembered to be far off. This paper portrays Machine Learning basics and the activity of Convolutional Neural Networks. Issues like game play or object recognition that were either challenging to portray numerically or computationally excessively costly, have had the option to use profound learning strategies with incredible achievement. This paper depicts creating methods that take input information and afterward by applying factual examination on the information, it predicts a result. Both include looking through designs through information and refreshing results as per new data sources. In this way, there is high need in planning a model which can foresee disease sickness recognition in leaves though machine learning and it likewise function as a two-way confirmation, so farmer don’t exclusively rely upon the device computation yet in addition a specialist view is there to tackle the disease identification.

KEYWORDS: Machine Learning, Internet of Things, Leaf Disease Detection

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