Smart Crop Cultivation Monitoring System by Using IoT

Abstract

Agricultural is an important field of economic development in Lao. Farming needs to be adapted in order to be able to satisfy consumers, so using IoT (Internet of Things) to help in this field is one of the preferred alternatives in the present. In this research, the system monitoring of soil moisture, temperature and water control has been proposed by using NodeMCU ESP8266, sensors and Cloud Computing. To study the effects of growth rate, producing rate, water saving rate of crop planting the three methods such as traditional farm, the greenhouse by using a timer to control soil moisture and the greenhouse by using sensors to automatically control soil moisture was set up and experimented on the melon farm. After that, we have kept track and record all statistics of each part of the plants such as height, its flower, and fruit every week for ten weeks, then analyse it on average in percentage (%) by using Excel to gather information. The results of all experiments compared with method using sensor to automatically control soil moisture, the result as following: grown rate is better than traditional farm 41.2% and better than a timer to control soil moisture is 23.1%; productivity is getting more than traditional farm 70% and get more than a timer to control soil moisture is 12.1%; water saving better than traditional farm 20.9% and better than a timer to control soil moisture is 5.5%.