Smart Agriculture System Development -

Abstract

The objectives of this article were : to develop, test the efficiency and evaluate the quality of farming intelligence system. The tools used are the performance test record form quality assessment form. Research method. The researcher has developed a smart agricultural technology system. By applying the concept of technological process to the development of the system. With IoT (Internet of Things) Using Blynk Application with NodeMCU. Then the system was tested for efficiency. Quality assessment from experts. The statistics used are: percentage, mean and standard deviation.

    The study found that:

            1)  to smart agricultural technology system were : 1) Temperature control system 2) Soil humidity control system Light control system Water volume control system 3) An application that can control the operation of the sensor via a mobile phone like a smartphone.

            2)  According to the overall performance of the system, the operation of sensor could be able to control accounted for 100%. In addition, the overall quality of farming intelligence system is at the highest level (=4.77, S.D.=0.41)