Next Article in Journal
Organic Plant Biostimulants and Fruit Quality—A Review
Next Article in Special Issue
Using YOLOv3 Algorithm with Pre- and Post-Processing for Apple Detection in Fruit-Harvesting Robot
Previous Article in Journal
A Gaussian-Process-Based Global Sensitivity Analysis of Cultivar Trait Parameters in APSIM-Sugar Model: Special Reference to Environmental and Management Conditions in Thailand
Previous Article in Special Issue
Positioning Accuracy Comparison of GNSS Receivers Used for Mapping and Guidance of Agricultural Machines
 
 
Article

Smart Palm: An IoT Framework for Red Palm Weevil Early Detection

1
Department of Computer Science, College of Computer & Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
2
Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Agronomy 2020, 10(7), 987; https://doi.org/10.3390/agronomy10070987
Received: 25 May 2020 / Revised: 21 June 2020 / Accepted: 7 July 2020 / Published: 9 July 2020
(This article belongs to the Special Issue Precision Agriculture for Sustainability)
Smart agriculture is an evolving trend in the agriculture industry, where sensors are embedded into plants to collect vital data and help in decision-making to ensure a higher quality of crops and prevent pests, disease, and other possible threats. One of the most critical pests of palms is the red palm weevil, which is an insect that causes much damage to palm trees and can devastate vast areas of palm trees. The most challenging problem is that the effect of the weevil is not visible by humans until the palm reaches an advanced infestation state. For this reason, there is a pressing need to use advanced technology for early detection and prevention of infestation propagation. In this project, we have developed an IoT-based smart palm monitoring prototype as a proof-of-concept that (1) allows monitoring palms remotely using smart agriculture sensors, (2) contribute to the early detection of red palm weevil infestation. Users can use web/mobile applications to interact with their palm farms and help them in getting early detection of possible infestations. We used an industrial-level IoT platform to interface between the sensor layer and the user layer. Moreover, we have collected data using accelerometer sensors, and we applied signal processing and statistical techniques to analyze collected data and determine a fingerprint of the infestation. View Full-Text
Keywords: precision agriculture; red palm weevil detection; internet-of-things; data analytics precision agriculture; red palm weevil detection; internet-of-things; data analytics
Show Figures

Figure 1

MDPI and ACS Style

Koubaa, A.; Aldawood, A.; Saeed, B.; Hadid, A.; Ahmed, M.; Saad, A.; Alkhouja, H.; Ammar, A.; Alkanhal, M. Smart Palm: An IoT Framework for Red Palm Weevil Early Detection. Agronomy 2020, 10, 987. https://doi.org/10.3390/agronomy10070987

AMA Style

Koubaa A, Aldawood A, Saeed B, Hadid A, Ahmed M, Saad A, Alkhouja H, Ammar A, Alkanhal M. Smart Palm: An IoT Framework for Red Palm Weevil Early Detection. Agronomy. 2020; 10(7):987. https://doi.org/10.3390/agronomy10070987

Chicago/Turabian Style

Koubaa, Anis, Abdulrahman Aldawood, Bassel Saeed, Abdullatif Hadid, Mohanned Ahmed, Abdulrahman Saad, Hesham Alkhouja, Adel Ammar, and Mohamed Alkanhal. 2020. "Smart Palm: An IoT Framework for Red Palm Weevil Early Detection" Agronomy 10, no. 7: 987. https://doi.org/10.3390/agronomy10070987

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop