碩士 / 中華大學 / 資訊工程學系 / 106 / Agriculture provides humans with food to maintain the fundamental needs of life. Agricultural economic development is directly related to the survival of humanity, national security, and social stability. At present, the decreasing birth rate in Taiwan and the reduction and ageing of its farming population have become urgent problems in agricultural development that need to be solved. There are more agriculture-related problems to be addressed, such as climate change and extreme climate caused by global warming, the resultant lower crop yield, the decreased area of farmland due to energy security issues, and market economy price competition after joining the WTO. The most important agricultural problem in Taiwan to solve is how to promote Intelligent Agriculture 4.0. Only by improving the traditional agricultural management methods and production techniques, by using advanced information technology to enhance the circulation of produce sales and marketing information, and introducing sensing technology, intelligent robots (IR), Internet of Things (IoT), Big Data analysis, artificial intelligence and deep learning (recognition of crop growth status), and other technologies to transform and develop intelligent agriculture, can we break through the current difficulties in agricultural development. The objective of this thesis is to apply the unmanned aerial vehicle (UAV) to the indoor automatic cultivation of mushrooms. In the future, drone imaging can be used in deep learning to automatically monitor and analyze the growth status of mushrooms, and automatically deal with poor growth status. The advantage of combining UAV indoor inspection and IoT environment control in the mushroom farm is that automatic control will not affect crop growth nor pollute the farm environment, and will reduce manpower demand and the impact of the ageing farming population; in addition, environmentally controlled cultivation by indoor sensors will not be affected by climate change. The main contribution of this thesis is to design and implement a UAV indoor ultrasonic flight control and obstacle avoidance system in the Arduino environment to solve the core problem of indoors UAV flight, so as to improve the technical depth of the automation and informatization of indoor mushroom cultivation.
| Identifer | oai:union.ndltd.org:TW/106CHPI0392007 |
| Date | January 2018 |
| Creators | HSU,TZU-HUNG, 徐子鴻 |
| Contributors | Liu,Chih-Chin, 劉志俊 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 62 |
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