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

被引:36
作者
Koubaa, Anis [1 ]
Aldawood, Abdulrahman [2 ]
Saeed, Bassel [1 ]
Hadid, Abdullatif [1 ]
Ahmed, Mohanned [1 ]
Saad, Abdulrahman [1 ]
Alkhouja, Hesham [1 ]
Ammar, Adel [1 ]
Alkanhal, Mohamed [1 ]
机构
[1] Prince Sultan Univ, Coll Comp & Informat Sci, Dept Comp Sci, Riyadh 11586, Saudi Arabia
[2] King Saud Univ, Coll Food & Agr Sci, Dept Plant Protect, Riyadh 11451, Saudi Arabia
来源
AGRONOMY-BASEL | 2020年 / 10卷 / 07期
关键词
precision agriculture; red palm weevil detection; internet-of-things; data analytics; RHYNCHOPHORUS-FERRUGINEUS INFESTATION; BIOACOUSTIC SENSOR; AGRICULTURE; MANAGEMENT;
D O I
10.3390/agronomy10070987
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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.
引用
收藏
页数:21
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