Citrus Orchards Monitoring based on Remote Sensing and Artificial Intelligence Techniques: A Review of the Literature

Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi

Abstract

In recent years, with the emergence of new technologies, in particular artificial intelligence techniques and remote sensing data, agriculture has become intelligent. These technologies have helped us to improve the quality and quantity of yield, and to facilitate many difficult tasks for farmers. In this paper, we will present an extensive review of the techniques and themes used in the field of agriculture in general, and citrus crop in particular, through the realization of a bibliometric and bibliographic study based on several published articles over the last years. Through an in-depth analysis of several works, we have found that there are several factors that are very interesting in this field. In fact, we have many parameters related to trees such as detection and counting; canopy or crown size; tree location; detection of individual trees and missing trees, etc. We have also the effect of vegetation indices such as normalized difference vegetation index(NDVI), normalized difference red edge index(NDRE), modified chlorophyll absorption ratio index(MCARI), etc. Which are strongly correlated with fruit production. In addition, monitoring tree health and water stress is very interesting. All these factors and more can be obtained from high-resolution spectral images, using machine learning algorithms, remote sensing techniques, and image processing. The purpose of this study is to explain how we can control the situation of orchards to have better yield.

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Paper Citation


in Harvard Style

Moussaid A., Fkihi S. and Zennayi Y. (2020). Citrus Orchards Monitoring based on Remote Sensing and Artificial Intelligence Techniques: A Review of the Literature.In Proceedings of the 2nd International Conference on Advanced Technologies for Humanity - Volume 1: ICATH, ISBN 978-989-758-514-2, pages 172-178. DOI: 10.5220/0010432001720178


in Bibtex Style

@conference{icath20,
author={Abdellatif Moussaid and Sanaa El Fkihi and Yahya Zennayi},
title={Citrus Orchards Monitoring based on Remote Sensing and Artificial Intelligence Techniques: A Review of the Literature},
booktitle={Proceedings of the 2nd International Conference on Advanced Technologies for Humanity - Volume 1: ICATH,},
year={2020},
pages={172-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010432001720178},
isbn={978-989-758-514-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Advanced Technologies for Humanity - Volume 1: ICATH,
TI - Citrus Orchards Monitoring based on Remote Sensing and Artificial Intelligence Techniques: A Review of the Literature
SN - 978-989-758-514-2
AU - Moussaid A.
AU - Fkihi S.
AU - Zennayi Y.
PY - 2020
SP - 172
EP - 178
DO - 10.5220/0010432001720178