Agrinet: A Hyperspectral Image Based Precise Crop Classification Model

Aditi Palit, Himanshu Dolekar, Kalidas Yeturu

2024

Abstract

Modern smart agriculture utilizes Unmanned Arial Vehicles (UAVs) with hyperspectral cameras to enhance crop production to address the food security challenges. These cameras provide detailed crop information for type identification, disease detection, and nutrient assessment. However, processing Hyper Spectral Image (HSI) is complex due to challenges such as high inter-class similarity, intra-class variability, and overlapping spectral profiles. Thus, we introduce the Agrinet model, a convolutional neural network architecture, to handle complex hyperspectral image processing. Our novelty lies in the image pre-processing step of selecting suitable bands for better classification. In tests, Agrinet achieved an impressive accuracy of 99.93% on the LongKou crop dataset, outperforming the existing methods in classification.

Paper Citation

in Harvard Style

Palit A., Dolekar H. and Yeturu K. (2024). Agrinet: A Hyperspectral Image Based Precise Crop Classification Model. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 562-566. DOI: 10.5220/0012378400003660

in Bibtex Style

@conference{visapp24,
author={Aditi Palit and Himanshu Dolekar and Kalidas Yeturu},
title={Agrinet: A Hyperspectral Image Based Precise Crop Classification Model},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={562-566},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012378400003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Agrinet: A Hyperspectral Image Based Precise Crop Classification Model
SN - 978-989-758-679-8
AU - Palit A.
AU - Dolekar H.
AU - Yeturu K.
PY - 2024
SP - 562
EP - 566
DO - 10.5220/0012378400003660
PB - SciTePress