EFFICIENCY COMPARISON OF POLLINATION METHODS IN DURIAN (DURIO ZIBETHINUS) CULTIVATION

Authors

  • Kasidid Promproh Faculty of Social Technology, Rajamangala University of Technology Tawan-ok
  • Wachirathorn Janchomphu Faculty of Social Technology, Rajamangala University of Technology Tawan-ok
  • Vicharinee Sawadee Faculty of Social Technology, Rajamangala University of Technology Tawan-ok
  • Bundit Saowapaporn Innovative Education and Lifelong Learning Institute, Rajamangala University of Technology Tawan-ok
  • Bhornchai Harakotr Faculty of Science and Technology, Thammasat University

DOI:

https://doi.org/10.55766/sujst9306

Keywords:

Durian Pollination, Mechanized Pollination, Fruit Set Rate, Sustainable Agriculture

Abstract

Durian (Durio zibethinus) requires cross-pollination for optimal fruit set, yet natural pollination rates remain below 10% due to declining pollinator populations. This study evaluates the efficiency and economic feasibility of mechanized pollination methods, focusing on their impact on fruit set and quality. A randomized complete block design (RCBD) was implemented in a commercial Mon Thong durian orchard to compare four pollination treatments, namely natural pollination (control), hand pollination, drone-assisted pollination using a DJI Agras T20P operated at an altitude of 7-8 meters above the canopy and air blower-assisted pollination using a KAWA BL5202 positioned 30-50 cm from the flowers. Each treatment was applied to 50 female flowers per tree under controlled conditions to assess fruit set and operational costs. Results showed that drone-assisted pollination achieved a 75% fruit set rate, surpassing air blower pollination (63%), hand pollination (58%), and natural pollination (9%). Economic analysis indicated that drone-assisted pollination reduced labor costs by 40% compared to hand pollination while maintaining comparable fruit quality in terms of size, weight, and seed abortion rates. Statistical analysis confirmed significant differences among methods (p < 0.05), with regression analysis demonstrating a strong correlation between pollination efficiency and yield profitability. To further optimize drone-assisted pollination, future studies should integrate Pollen Tracking Camera Systems for real-time pollen dispersion monitoring, Anemometer Sensors to adjust airflow based on wind conditions and sugar-based pollen adhesives to enhance pollen adhesion and fertilization efficiency. These innovations could refine drone-based pollination, ensuring higher consistency and maximizing fruit set in commercial durian production.

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Published

2026-05-05

How to Cite

Promproh, K., Janchomphu, W., Sawadee, V., Saowapaporn, B., & Harakotr, B. (2026). EFFICIENCY COMPARISON OF POLLINATION METHODS IN DURIAN (DURIO ZIBETHINUS) CULTIVATION . Suranaree Journal of Science and Technology, 33(1), 020045(1–8). https://doi.org/10.55766/sujst9306