AI - Driven Drone System Using CNN For Detecting Manganese Toxicity & Bacterial Diseases In Tomato Crop

Author(s)	Mr. G. Ramesh, Mr. Syed Shoaib Ahmed, Mr. Mohammed Omer Asadi, Mr. Hamza Mohammed Ghouse
Country	India
Abstract	in machine learning ml and deep learning dl have revolutionized plant disease detection significantly enhancing agricultural productivity and improving food security this paper presents smart-crop defender an innovative drone-based system that integrates internet of things iot capabilities with deep learning algorithms for autonomous plant disease detection and targeted pesticide application the system leverages convolutional neural networks cnn trained on comprehensive datasets such as plant village to achieve accurate real-time disease identification
Keywords	Machine Learning,Deep learning, CNN
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-03
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.73197

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research