Internet of things system through message queue telemetry tracking protocol for modernizing red chili agriculture Available to Purchase

In recent years, the country has continued to increase its food imports, especially red chilies. The majority of Malaysians spend most of their income on food. Meanwhile, domestic food production for certain foods continues to decline. The result of this is that the country will have low-income ability and will need to continue importing food from abroad. According to a study in 2018, the Malaysian population’s import dependence (IDR) for red chili is 73.1%. Although specific plans have been put in place through the National Agricultural Policy, food imports are still on the rise. With the advent of 4.0 industrial revolution, the country’s agricultural sector needs to follow this revolution in order to maximize production and meet the demands of Malaysia’s society. Farms in remote areas that lack facilities, especially electrical power, find it difficult to operate in accordance with the current development era. In order to equip plantations with modern equipment that requires electricity to work, renewable energy, namely solar energy, must be used as a primary energy source. In this study, smart farming method is proposed to study the root growth rate according to soil factors namely pH and moisture. Data from pH sensors and moisture sensors will be transmitted via Message Queue Telemetry Tracking (MQTT) to the cloud. Raspberry Pi will analyze the data, and the system will determine whether irrigation and fertilization should be applied to increase root growth. It will continuously monitor the environment crops, including the sources of electricity supply, which will include photovoltaic (PV) systems. Two (2) zones have been set up at the planting site in order to facilitate monitoring and control operations. As a result of the study conducted, the system will ensure that the soil pH rate is suitable for chili cultivation, which is between 5.5 and 6.5, and the soil moisture is between 55% to 70%. If that value is not reached, the system will automatically turn on the pump. A manual control mode is also available for user convenience. Users can also view the system using web access or Android applications.