This research aimed to know the situation in land usage for organic or clean longan, relevant
government policy, and decision toward smart resource usage under uncertainty or fuzziness of
data. The study employed the method of MCDM (Multi-criteria Decision Making) consisting of
2 important steps i.e. 1) specifying important weight of alternatives by methodology of Fuzzy
AHP, and 2) Multi-objective and multi-period model together with extended goal programming
(EGP) and multi-choice goal programming. The result revealed that agricultural in the studied
areas ( Tambon Tha Duea, Doi Tao District, Chiang Mai) gave the most important weight to
growing in-season clean longan ( of high quality) at 0. 343, followed by off-season inorganic
longan (of high quality) at 0.280 while 3rd and 4th ranks were off-season inorganic longan (of
non-high quality), and off-season clean longan (of non-high quality), respectively.
The study on using production factors appropriately under collaborative longan plantation
(becoming large agricultural land plot) was done on 400 longan growing agriculturist households
in the areas of 1,500 Rais. This study applied the model of Multi-objective and Multi-Period
Linear Programming together with Fuzzy Analysis Hierarchical Process: AHP. The result
revealed that attempt to increase revenue or focusing on producing longan for selling to relevant
factories (longan of non-high quality) caused opportunity cost or losing revenue from producing
longan of high quality (AA Premium Grade) with the average ratio around -1.33 to -1.57. There
should be continuous land allocation for in-season clean longan (for both of high quality and nonhigh
quality selling) from the first year of 350 Rais to 800 and 896 Rais in the second and third
years respectively. As for the areas for inorganic off-season longan (for both high-quality and
non-high quality) in the first year, they were 822 Rais (70%) and tended to decrease to 580 Rais
(41%) and 392 Rais (30%) in the second and third years respectively.