IoT Techonlogy for Organic Rice Cultivation

Abstract

This research realized the importance of changing the agricultural model by applying internet of things technology to focus on the accuracy of production. The collect data on factors affecting various factors such as water content, fertilizer amount, temperature, humidity, etc., this data helps to increase production efficiency, reduce costs and increase agricultural product quality. The information of pesticide prevention to collect important data for use in the analysis of problems in rice cultivation. Including dissemination to farmers who are interested in adjusting the model of organic farming. It is helping entrepreneurs in an era where organic products are becoming popular. Technology that the government promotes according to the principles of Agriculture 4.0 will also increase opportunities for farmers in various groups. Therefore, the research is interested in developing a water management system for rice cultivation. The farmers need to have knowledge and understanding of water management in rice fields for maximum efficiency and reduce the amount of water loss that is not useful. This will help farmers to be aware of the potential problems of water shortage in rice planting. The influence of water deficit on rice growth could be greatly reduced. Only rice plants lack water in every stage of growth, to solve the problem, a good water management is required. This research will be able to serve as a model to encourage Thai farmers to learn how to use digital technology for a sustainable agriculture era forever, to support and direct the upgrading of the country's potential. The IoT technology was used to collect water usage data of rice, control of rice planting plots to predict yield by using. There is a design of a water management system for organic rice. Development of a water management system for rice cultivation. Practical application of equipment interlocking internet technology system water management system for organic rice cultivation. Appropriate moisture content and accurate rice planting will ensure yields are predicted. Including as a data collection that can help in the analysis in the following years by using the water level as wet and dry alternately, the temperature in the air is collected and air humidity including soil moisture values.