A Mobile-Based Decision Support System for Rice Cultivation in Sisaket
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Abstract
Rice cultivation remains a crucial component of Thailand's agricultural economy, particularly in Sisaket Province, which fares environmental limitations such as dependence on rainwater and inadequate irrigation systems. Despite the continuous development of agricultural technology, local smallholder farmers in the region still lack digital tools that can provide information to support decisions appropriate for the local context. The objectives of this research were to (1) study appropriate rice cultivation methods in Sisaket Province, (2) develop an application on the Android operating system to support rice cultivation, and (3) evaluate the application’s suitability based on assessments by experts and actual users. The research employed a mixed methodology, beginning with interviews of experienced farmers to collect information about the rice cultivation process. Two main rice cultivation patterns were identified: black rice farming with 18 steps and sowing farming with 17 patterns. These patterns reflect the sequence of cultivation steps that align with the context of water use in the area. Based on this data, an application was developed consisting of 5 main modules: (1) area data import system, (2) crop data recording system, (3) activity processing system, (4) individual data display system, and (5) activity notification system, as well as auxiliary functions such as creating, editing, and deleting cultivation plans, providing fertilizer recommendations, seed sources, pest management, and retrieving past yield data. The application evaluation was conducted with a group of 5 agricultural and technology experts and 35 farmers who actually used it, using a standard questionnaire analyzed with descriptive statistics. The evaluation results show that the application demonstrates very high suitability with a mean score of 4.09 and a standard deviation of 0.81. The results suggest that the application can effectively integrate local knowledge with mobile technology and is an easy-to-use tool suitable for supporting smallholder farmers in making cultivation decisions, which has the potential to promote productivity and sustainable agricultural development at the local level.
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