Browsing by Author "Pangesti, Lisa"

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    SISTEM KLASIFIKASI KESIAPAN PANEN TANAMAN PAKCOY BERBASIS PENGOLAHAN CITRA KAMERA TUNGGAL MENGGUNAKAN METODE K - NEAREST NEIGHBOR
    (Sekretariat Badan Penelitian dan Pengembangan Pertanian, 2021-12-16) Afandi, Mas Aly; Pangesti, Lisa; Isnawati, Anggun Fitrian
    Pakcoy (Brasica rapa L.) is a kind of mustard greens that is in demand as a vegetable for consumption in Indonesia. Pakcoy has a high potential to be cultivated in Indonesia because of the relatively fast cultivation time and does not require high maintenance costs. Hydroponic is one of the most common method for cultivationg Pakcoy practiced in Indonesia. In order to accelerate the implementation of smart farming in Indonesia, various methods and technology that support agriculture in Indonesia have been developed. One of the technological studies that can be implemented to encourage the development of Pakcoy cultivation is image processing technology. Image processing technology in agriculture can be used to classify and identify plants that are ready for harvest and not. This research aims to create an image processing system that can be implemented in classifying and identifying Pakcoy plants that are ready for harvest or not using K– nearest Neighbor. Based on the results of the data obtained, the system was able to distinguish between ripe and immature Pakcoy plants with an accuracy rate of 87,43%, a precision level of 87%, and a recall rate of 86,13%. These results indicate that the proposed image processing method is capable of providing satisfactory results. This technology can be used to support automation in Pakcoy mustard cultivation using the hydroponic method in the context of implementing smart farming in Indonesia.