Plant Leaf Disease Detection Robot
Abstract
The key motivation for developing the convolutional networks model for leaf disease is to provide the farmers with an easy-to-use system to detect early-stage infections by using common digital camera. Second, extracting effective features for identifying diseases is a critical but challenging task, and CNNs are highly expected to be automated feature learning from the raw inputs in a systematic way.
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Published
14-04-2025
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Copyright (c) 2025 Shivam Nilesh Loharkar, Rutik Sandeep Mahale, Himanshu Prakasha Mahajan, S. S. Kamble (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
[1]
S. N. Loharkar, R. S. Mahale, H. P. Mahajan, and S. S. Kamble, “Plant Leaf Disease Detection Robot”, IJRIS, vol. 3, no. 4, pp. 22–24, Apr. 2025, Accessed: Oct. 14, 2026. [Online]. Available: https://journal.ijris.com/index.php/ijris/article/view/115