Open AccessCountry-appropriate operating cost estimation scheme based on curve fitting for rice combine harvester
Author(s) -
A. Numsong,
Khunnithi Doungpueng,
Somchai Chuan-Udom
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/301/1/012007
Subject(s) - context (archaeology) , estimation , matlab , function (biology) , power (physics) , cost estimate , operating cost , agriculture , agricultural engineering , engineering , statistics , reliability engineering , econometrics , computer science , mathematics , geography , ecology , biology , physics , archaeology , systems engineering , quantum mechanics , evolutionary biology , waste management , operating system
This research explores two operating cost estimation models as a function of repair and maintenance (R&M) outlay for domestically-made rice combine harvesters: ASAE-based and power function-fitted estimation models. The goal is to establish a guideline for operating cost estimation suited to the agricultural context of Thailand. In the study, variable cost data belonged to the country’s northeastern region. Simulations were carried out using MATLAB/Simulink and results compared. The ASAE-based operating cost estimations were consistently larger than those of power function-fitted model, and the divergence became more pronounced with increase in harvest area. The finding could be attributed to country-specificity in which R&M practices varied from country to country. Essentially, the power function-fitted estimation model is more suited to the agricultural context of Thailand, in comparison with the ASAE-based model which tends to overestimate the cost figure.