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Smart agriculture is an evolving trend in agriculture industry, where sensorsare embedded into plants to collect vital data and help in decision making toensure higher quality of crops and prevent pests, disease, and other possiblethreats. In Saudi Arabia, growing palms is the most important agriculturalactivity, and there is an increasing need to leverage smart agriculturetechnology to improve the production of dates and prevent diseases. One of themost critical diseases of palms if the red palm weevil, which is an insect thatcauses a lot of damage to palm trees and can devast large areas of palm trees.The most challenging problem is that the effect of the weevil is not visible byhumans until the palm reaches an advanced infestation state. For this reason,there is a need to use advanced technology for early detection and preventionof infestation propagation. In this project, we have developed am IoT basedsmart palm monitoring prototype as a proof-of-concept that (1) allows tomonitor palms remotely using smart agriculture sensors, (2) contribute to theearly detection of red palm weevil. Users can use web/mobile application tointeract with their palm farms and help them in getting early detection ofpossible infestations. We used Elm company IoT platform to interface betweenthe sensor layer and the user layer. In addition, we have collected data usingaccelerometer sensors and we applied signal processing and statisticaltechniques to analyze collected data and determine a fingerprint of theinfestation.

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