IMPLEMENTASI ALGORITMA FUZZY TSUKAMOTO DALAM PENENTUAN BIJI KAKAO YANG BERKUALITAS

Penelitian yangg dilakukan bertujuan merancang serta membangun sistem pendukung keputusan dalam Metode Fuzzy Tsukamoto untuk menentukan kualitas biji kakao. Sistem tersebut membantu perusahaan dan petani dalam memilih kualitas biji kakao. Dalam penelitian ini menggunakan metode Fuzzy Tsukamoto  dengan kriteria variabel input dan variabel hasil dibagi menjadi satu atau lebih himpunan fuzzy. Setiap anggota himpunan fuzzy dipengaruhi oleh fungsi keanggotaan yang dipengaruhi oleh derajat keanggotaan. Hasil penelitian ini adalah sistem pengambilan keputusan biji kakao berkualitas. Berdasarkan hasil uji coba dengan 25 alternatif menggunakan metode Fuzzy Tsukamoto yang akan terjadi perangkingan tertinggi yaitu alternatif dengan biji kakao berjenis Trinitario Angoleta yang berada dibagian mutu ke-dua menjadi biji kakao berkualitas menggunakan persentasi nilai akhir sebesar 0,966667

Real-time vision-based UAV navigation in fruit orchards

Unmanned Aerial Vehicles (UAV) enable numerous agricultural applications such as terrain mapping, monitor crop growth, detecting areas with diseases and so on. For these applications a UAV flies above the terrain and has a global view of the plants. When the individual fruits or plants have to be examined, an oblique view is better, e.g. via an inspection-camera mounted on expensive all-terrain wheeled robots that drive through the orchard. However, in this paper we aim to autonomously navigate through the orchard with a low-cost UAV and cheap sensors (e.g. a webcam). Evidently, this is challenging since every orchard or even every corridor looks different. For this we developed a vision-based system that detects the center and end of the corridor to autonomously navigate the UAV towards the end of the orchard without colliding with the trees. Furthermore extensive experiments were performed to prove that our algorithm is able to navigate through the orchard with high accuracy and in real-time, even on embedded hardware. A connection with a ground station is thus unnecessary which makes the UAV fully autonomous.Hulens D., Vandersteegen M., Goedemé T., ''Real-time vision-based UAV navigation in fruit orchards'', Proceedings 12th international conference on computer vision theory and applications - VISAPP 2017, 6 pp., February 27 - March 1, 2017, Porto, Portugal.status: publishe