Development of an Embedded System-Based Brown Planthopper (BPH) Kit: A Case Study in Mueang District, Phetchabun

Abstract

The objective of this research is to design and develop a brown planthopper detection kit using an embedded system and as well as to analyze performance measurement survey results of brown planthopper outbreak data with outbreak numbers in six sub-districts, including Sa Deang, Tha Phol, Dong Mun Lek, Na Yom, Huai Yai and Ra Wing. This study used data from 2020-2023, which indicate a moderate outbreak volume. Brown planthopper detection kit was with embedded system consisting of Node MCU ESP8266, motion detector, CCTV camera, LCD display and memory. The performance of the detection system was evaluated through 10 experiments. The identification accurate was 100% when one to two brown planthoppers were detected. If more than two brown planthoppers appeared at a time, they not all could detected. The average separation rate is 70%. The detection kits were installed in rice fields, In the middle of the rainy season (June-November). When the rice plants begin to grow, which is when the brown planthopper outbreak begins. The results of the inspections in all six sub-districts are as follows: The brown planthopper detection device detected a total of 219 insects, averaging of 36.5 insects per sub-district. Among these 28 were brown planthoppers, an averaging 4.67 insects per sub-district. Consist of Sa Diang Subdistrict, 6 individuals (12%); Tha Phol Subdistrict, 3 individuals (7.9%); Dong Mun Lek Subdistrict, 7 individuals (19.4%); Na Yom Subdistrict, 5 individuals (12.5%); Huai Yai Subdistrict, 4 individuals (15.4%); and Ra Wing Subdistrict, 3 individuals (10.3%). The frequency of brown planthopper detection varied significantly across sub-districts, although the overall number remained low.