Earticle

초록

영어

In this present paper, a new counting algorithm for tangerine yield estimation is adapted to obtain better results with respect to partially / semi partially occluded tangerine and its clusters. To optimize tangerine counting, and to minimize typical background noises from orchards (i.e. bare soil, weeds, and man-made objects), a tangerine fruit counting algorithm is implemented, and compared between before harvesting, after harvesting tangerine fruits, and results of yield estimation through tangerine flower recognition. Under natural lighting conditions prediction of the tangerine fruits from the orchards is computed and compared based on observers, and with tangerine counting algorithm. The simulation outputs show that new counting algorithm is found to be suitable, and effective.

목차

Abstract
 1. Introduction
 2. Objectives and Methodology
  2.1. Acquired Images
  2.2. Image Processing
  2.3. Yield Estimation of Tangerine
 3. Performance Evaluation and Discussion on Results
 4. Conclusions and Future Work
 References

키워드

저자

• Ulzii-Orshikh Dorj [ Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, Chon Buk National University ]
• Malrey Lee [ Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, Chon Buk National University ] corresponding author
• Sangsub Han [ Department of Forest Environmental Sciences, Chonbuk National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605