| Name: | Description: | Size: | Format: | |
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| 5.72 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Population growth and climate change lead agricultural cultures to face environmental
degradation and rising of resistant diseases and pests. These conditions result in reduced product
quality and increasing risk of harmful toxicity to human health. Thus, the prediction of the
occurrence of diseases and pests and the consequent avoidance of the erroneous use of phytosanitary
products will contribute to improving food quality and safety and environmental land protection.
This study presents the design and construction of a low-cost IoT sensor mesh that enables the
remote measurement of parameters of large-scale orchards. The developed remote monitoring system
transmits all monitored data to a central node via LoRaWAN technology. To make the system nodes
fully autonomous, the individual nodes were designed to be solar-powered and to require low
energy consumption. To improve the user experience, a web interface and a mobile application were
developed, which allow the monitored information to be viewed in real-time. Several experimental
tests were performed in an olive orchard under di erent environmental conditions. The results
indicate an adequate precision and reliability of the system and show that the system is fully adequate
to be placed in remote orchards located at a considerable distance from networks, being able to
provide real-time parameters monitoring of both tree and the surrounding environment.
Description
Keywords
Fruit tree diseases and pests Smart agriculture IoT sensor mesh LPWAN communications Photovoltaic power extraction