Environment Scanning and Navigation of Fields with Real Time Data Transmission Drone for Agriculture

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Environment Scanning and Navigation of Fields with Real Time Data Transmission Drone for Agriculture Dr. Dinesh Kumar D , Misba M, Monisha D, Pooja R Abstract- This collection of study explores advancements in drone technology across various domains, including military reconnaissance, agriculture, emergency communications, and forensic applications. By integrating AI and machine learning technologies such as YOLO models, reinforcement learning, and advanced neural networks, drones are achieving greater autonomy, precision, and adaptability. The research highlights the use of synthetic and augmented datasets for model training, the development of lightweight architectures for real-time applications, and innovative algorithms for resource-constrained environments. Challenges such as environmental complexity, ethical concerns, computational limitations, and communication reliability are analyzed, alongside solutions like simulation-to-reality transitions, adaptive algorithms, and robust evaluation frameworks. This paper offers a comprehensive examination of the evolving landscape of drone technology, emphasizing its potential for societal impact across diverse applications. Keywords- Drone Technology, Artificial Intelligence, YOLO Object Detection, UAV Applications, Reinforcement Learning, Military Reconnaissance, Precision Agriculture, Emergency Communication Systems, UAV Forensics, Simulation-to-Reality Transition Downloads: | DOI: 10.17148/IARJSET.2024.111220 How to Cite: [1] Dr. Dinesh Kumar D , Misba M, Monisha D, Pooja R, "Environment Scanning and Navigation of Fields with Real Time Data Transmission Drone for Agriculture," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.111220 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat