Year: 2025
Type: article
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.
Source: IJARCCE
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4409475979