Development of drone navigation system for fertilizing durian tree

Salehuddin, Syarafina Solehah (2021) Development of drone navigation system for fertilizing durian tree. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Durian is a commercially grown fruit in Southeast Asia. In rural areas, it is also a popular characteristic in home gardens. While it is widely found in arboretums, the durian has been exported to other tropical countries where commercial cultivation is restricted. It is known for its distinct strong fragrance and sweet custard-like aril flesh, earning it the moniker "King of Fruit." It has avid supporters who are passionate about the fruit's popularity and benefits. The flesh of the aril comprises a variety of bioactive substances, all of which are good for human health. Drone is one of the technologies used to increase quantity and quality of agriculture products. To adapt drone technology for smart durian farming, it should have a system that can navigate autonomously to avoid natural obstacles such as tree branches and leaves, while on the same time can do fertilizing task for durian trees. The objective of this project is to analyses navigation system for fertilizing durian tree. The study on suitable method for drone path planning will be done. Besides that, the existing system become eco-friendly. Route design in a navigation environment ensures that a dynamically feasible and non-collision path between the start and end point is designed for an Unmanned Aerial Vehicle. The Rapidly Exploring Random Tree is one of the most widely used route planning algorithms, in which each of its nodes is arbitrarily selected from the navigation environment before the start and end navigation points are linked through them. The Rapidly Exploring Random Tree algorithm is probabilistically complete, which means that as the number of sampled nodes grows indefinitely, a path, if one exists, will be identified.

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