Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8

Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8

Accurate identification and classification of agricultural fields is essential for analyzing crop growth, agricultural resource management, and supporting decision-making in precision farming. The current study uses the remote sensing images to classify the agricultural lands using the You Only Look...

Full description

Saved in:
Bibliographic Details
Main Authors: Rohan Vaghela, Darsh Vaishnani, Parvathaneni Naga Srinivasu, Yashvi Popat, Jigar Sarda, Marcin Wozniak, Muhammad Fazal Ijaz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Land cover classification
precision agriculture
sensor imaging
you only look once (YOLO) V8
Online Access:https://ieeexplore.ieee.org/document/10908635/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10908635/

Similar Items