@article{Jalil_Najib_Daud_Mohamad_Tajuddin_Che Mohd_Abd Latip_Ismail_Shabudin_W. Rusik_2020, title={Intelligent Classification of Palm Oil Tree Pollination Using E-Nose}, volume={2}, url={https://journal.ump.edu.my/mekatronika/article/view/6722}, DOI={10.15282/mekatronika.v2i1.6722}, abstractNote={<p>The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of the polination insect as the insect activity is influenced by the surrounding enviroment.E-Nose can help determine the period by classifiy odour pattern of the male and female palm oil flower. The pattern of each of the flowers were classified using cased – based reasoning artificial intelligent technique. This paper shows the research of the palm oil pollination flower odour profile pattern using case-based reasoning (CBR) classifier.</p>}, number={1}, journal={Mekatronika: Journal of Intelligent Manufacturing and Mechatronics}, author={Jalil, Abdul Rahim and Najib, Muhammad Sharfi and Daud, Suhaimi Mohd and Mohamad, Mujahid and Tajuddin, Saiful Nizam and Che Mohd, Che Mohd Aizal and Abd Latip, Razam and Ismail, Mohammad Saiful Nizam and Shabudin, Mohamad Nor Azizi and W. Rusik, Wan Rusyidah}, year={2020}, month={Jun.}, pages={28–37} }