DEEP LEARNING IN DRONE-BASED CROP MONITORING

International Journal on Cybernetics & Informatics 2026 Open access

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Authors: Sushil Kumar, Uttam Sharma, Deepak Singh, Dr. Ajay Kumar
DOI: 10.5121/ijci.2026.150125
Cited by: 0

Abstract

Agriculture is undergoing a significant transformation driven by advances in technology. One of the most impactful developments is the integration of drone-based systems with deep learning techniques for crop monitoring. This combination provides farmers with a powerful tool for improving crop yield, detecting diseases, monitoring soil conditions, and managing resources efficiently. This article explores the role of deep learning in drone-based crop monitoring, examining its methodologies, applications, challenges, and future prospects.

Fields of Study & Subjects

Smart Agriculture and AI Remote Sensing in Agriculture Advanced Neural Network Applications

Publication details

Journal / source
International Journal on Cybernetics & Informatics
Volume
15
Issue
1
Pages
241–246
Publication date
27 February 2026
Language
EN