IMPLEMENTASI TEKNOLOGI SMART DRONE DAN CITRA UDARA UNTUK MONITORING PERTUMBUHAN KELAPA SAWIT

Ari Purno Wahyu Wibowo, Iwan Rijayana

Abstract


 

Minyak kelapa sawit  telah menjadi andalan eksport indonesia dan menyumbang devisa terbesar setelah migas Indonesia menyumbang 6,6 jt ton minyak sawit dari total minyak sawit dunia, untuk memenuhi kebutuhan tersebut maka perkebunan kepala sawit di indonesia di perluas terutama di derah sumatra dan kalimantan.

 

Jumlah perkebunan yang sangat luas diperlukan sebuah mekanisme pangawasan  terhadap jumlah kelapa sawit itu sendiri, pengwasan saat ini masih dilakukan manual dengan cara menghitung jumlah pohon per Area cara ini sangat memakan waktu dan biaya.

 

Oleh sebah itu digunakan kan lah teknologi drone yang mampu mengghitung jumlah kelapa sawit manggunakan citra udara dengan pemanfaatan teknologi Computer Vision, diharapkan teknologi tersebut bisa digunakan untuk menghitung dan memonitor pertumbuhan kelapa sawit


Full Text:

PDF

References


"Manfaat Minyak Sawit bagi perekonomian indonesia," Worl Growth, 2012.

Alyssa-Ninja Weis, "Smart drones.," Information Technology.

Jeremiah Karpowicz, "Above the Field with UAVs in Precision Agriculture," 2016.

Faine Greenwood, "Drones on the horizon," new frontier in agricultural innovation, no. 82, 2016.

Ioanna Simelli ; Apostolos Tsagaris, "The Use of Unmanned Aerial Systems (UAS) in Agriculture," Technological Educational Institute of Thessaloniki.

Arun Kumar ; Vijay S Rajpurohit, "Research Avenues in Fruit Characterization using Machine Vision," International Journal of Emerging Technology and Advanced Engineering, vol. 4, no. 12, 2014.

M. Omid;M. Abbasgolipour;A. Keyhani and S.S. Mohtasebi, "Implementation of an Efficient Image Processing Algorithm for Grading Raisins," International Journal of Signal and Image Processing, vol. 1, no. 1, p. 1, 2010.

Yam, K.L., ; E.P. Spyridon, "A Simple Digi tal Imaging Method for Measuring and Analyzing Colour of Food Surfaces”,," Journal of Food Engineering, pp. 137-142, 2003.

Kim Steenstrup Pedersen, Department of Computer Science University of Copenhagen, Copenhagen.

Mahendran R; Jayashree GC ;Alagusundaram K, "Application of Computer Vision Technique on Sorting and Grading of Fruits and Vegetables," Food Process echnol, p. 5, 2011.

Timmermans, A.J.M, "Computer Vision System for Online Sorting of Pot Plants Based on Learning Techniques," ActaHorticulturae, pp. 91-98, 1998.


Refbacks

  • There are currently no refbacks.