IOT Technology for Cultivation of Rice with Organic Agriculture เทคโนโลยีอินเทอร์เน็ตประสานสรรพสิ่งอุปกรณ์ดิจิทัลขนาดย่อม สำหรับการเพาะปลูกข้าวแบบเกษตรอินทรีย์

Abstract

ABSTRACT

The objectives of this research were 1) to study and develop the model of a learning package for integrated internet technology of small digital devices for organic rice cultivation 2)  to disseminate and apply the learning package of integrated internet technology of small digital devices for organic rice cultivation. The conceptual framework for this research is collecting data on organic rice cultivation in Chainat province since the beginning of the rice cultivation process plot preparation until the harvest and planning for planting in the next season. There were interviews with farmers organic rice. There is a process of synthesizing information from group discussions about knowledge, wisdom, problems and solutions. Including various environmental factors that affect productivity in each season. Education and use of technology and digital record keeping in order to grow organic rice efficiently by choosing an organic farming group Hankha district and Noen Kham district, Chainat province is a case study of data collection methods. By interviewing 30 community residents and in-depth interviews with 10 key informants using participatory observation and documentary studies. The tools used in the research are: 1) Interoperable Internet of Small Digital Devices technology 2) Performance assessment form of the interoperable Internet of small digital devices technology system 3) Satisfaction assessment form of using the system learning kit. Internet technology integrates small digital devices. Statistics used to analyze data contains percentages, average and standard deviations.

The results of the research found that 1) the learning kit for the internet technology system that integrates small digital devices consists of a control board, a temperature and humidity sensor in the air, and a soil moisture sensor. The results of evaluating the effectiveness of the learning from 5 experts found that the content of the learning design of learning sets and utilization, the overall mean was 4.20 and the standard deviation was 0.76, with the learning set topic useful for those interested in organic agriculture having the highest mean and the results of evaluating the satisfaction of the learning set among a sample of 30 people found that the usability aspect was at a high level. Therefore, the developed learning set can be useful in collecting data in the organic rice growing area Hankha district Chainat province, using internet of thing technology and digital data on temperature and humidity in paddy fields to help decisions making on effective alternate wetting and drying (AWD) water management in rice fields or can be applied to various types of organic agriculture, including sustainable agriculture, which will help further development. It is a tool for farmers to help them decide on planning organic farming more conveniently.