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020			_aTHE0010045 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aPSM .E34 2023 r Bc.
100	0		_aEiffel Syafhamka Nadimen A/l Syamsul, _eauthor.
245	1	0	_aAuto tree counting for oil palm plantation based on UAV/drone orthophoto / _cEiffel Syafhamka Nadimen A/l Syamsul
264		1	_aKuantan Pahang : _bUMPSA, _c2023
264		4	_c© 2023
300			_axii, 61 pages : _billustrations ; _e1 CD-ROM.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aCenter for Mathematical Sciences
502			_aBachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023
504			_aIncludes bibliographical references
520	3		_aTree counting plays a crucial role in assessing the number of tree crops within a specific area or plantation farms, and computer vision techniques using aerial or satellite imagery have become prevalent in this domain. Currently, manual digitization is the traditional method employed for tree counting, but it falls behind the advancements in machine learning. To address this, a more effective approach is sought to assist plantation owners with palm oil tree counting and land resource management for a faster and more accurate tree counting method that can be used in ArcGIS. This study will utilize the Faster R-CNN due to its usage of a two-stage pipeline and leverage power of deep learning. This method was able to detect and plot the palm oil tree on the crown of each tree but due to the average precision only being 75%, the method can only detect the trees correctly to a certain extent. Also, the transformation of georeferencing plot points for all the tree using an affine transformation coefficient causes the output to not be aligned in its correct position when outputted into ArcGIS. With that the deployment of Faster RCNN method for palm oil tree counting has been successful, demonstrating its ability to offer a faster and more efficient alternative to manual digitize but the integration of output into ArcGIS software poses as a challenge. The result of implementing this method may be helpful in cutting the cost of labour, saving the time spent to manually digitize the tree counting method and improving the productivity of work.
610	2	0	_aCenter for Mathematical Sciences _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aFinal Year Report _xDissertations
942			_2lcc _cPSM