Plant Leaf Disease Detection using CNN

Early detection of plant diseases is essential for safeguarding crop health and enhancing agricultural productivity.Traditional methods relying on manual observation are often slow, inaccurate, and inefficient.This ponder proposes a unused approach utilizing Convolutional Neural Systems (CNNs) to consequently distinguish plant maladies, altogether upgrading speed and precision.The show is prepared on a comprehensive collection of pictures, covering both solid and infected plant clears out, driving to a tall discovery rate.By joining exchange learning, the framework can perform successfully indeed with constrained information.Planned to function in real-time and at scale, this device is available to agriculturists, advertising a viable arrangement that diminishes the require for pesticides, bolsters way better trim administration, and empowers more feasible rural hones. I.

Publication Details

Journal
IJARCCE
Published
2025-04-15
DOI
https://doi.org/10.17148/ijarcce.2025.14410
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Plant Leaf Disease Detection using CNN

IJARCCE
Smart Agriculture and AI
article

Plant Leaf Disease Detection using CNN

article en

Abstract

Early detection of plant diseases is essential for safeguarding crop health and enhancing agricultural productivity.Traditional methods relying on manual observation are often slow, inaccurate, and inefficient.This ponder proposes a unused approach utilizing Convolutional Neural Systems (CNNs) to consequently distinguish plant maladies, altogether upgrading speed and precision.The show is prepared on a comprehensive collection of pictures, covering both solid and infected plant clears out, driving to a tall discovery rate.By joining exchange learning, the framework can perform successfully indeed with constrained information.Planned to function in real-time and at scale, this device is available to agriculturists, advertising a viable arrangement that diminishes the require for pesticides, bolsters way better trim administration, and empowers more feasible rural hones. I.

IJARCCEVol. 14(4)
Openalex Percentile: Top 95%
Smart Agriculture and AI
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