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- W2890782289 abstract "Currently, the mapping of a greenhouse is done by hand, rendering it cost and time intensive. A drone could optimise this process by autonomously mapping the greenhouse. Moreover, data such as imaging, humidity and temperature could be collected by the drone whilst navigating in a greenhouse. This data proves to be insightful for the horticulturist as well as a consultant. We have created a prototype drone which can navigate through a greenhouse, collecting, analysing and visualising crop growth data. This report will give an insight into the process of creating such a prototype. A suitable drone for this task has been selected with the appropriate obstacle sensing sensors for indoor flight. An algorithm to explore the greenhouse has been constructed to navigate through a greenhouse, con- sisting of four states. The drone first searches the wall of the greenhouse, to consequently follow the wall so it can determine the perimeter. Next the drone searches for posts. If the perimeter is determined and if the posts are located, a map of the greenhouse can be generated. Information about the posts and walls is collected using ultrasonic and imaging sensors. Using image recognition techniques post can be detected and with the use of ultrasonic data distance to the posts and walls is determined. Our prototype could be extended with additional sensors to create more insight into greenhouse crop growth. A lot of potential exists in further development of the project, as the market is waiting for a scalable solution like this." @default.
- W2890782289 created "2018-09-27" @default.
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- W2890782289 date "2016-01-01" @default.
- W2890782289 modified "2023-09-23" @default.
- W2890782289 title "Drone-based Data Collection, Analysis & Visualisation for Greenhouse Growth Analysis" @default.
- W2890782289 hasPublicationYear "2016" @default.
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