Internet of Things Based Intelligent System for Monitoring and Improving the Crop Growth Rate Using Deep Learning Technique

Abstract

            As we all know, agriculture is an essential commodity in India. A lot of India’s economy comes from the agriculture sector therefore the growth of agriculture field based on technology is necessary in all the agricultural fields. In the current situation, the agriculture sector has been going through a very distressful phase. During the last three decades, India saw a whole lot of natural calamities that affected the overall crop production. The major one being the draught of 1986-1987 and 1987-1988. Due to the deficit rains, the farmers saw a reduced production. Farmers facing Currently, the demand for agriculture products are increasing exponentially and Farmers are facing more challenges to predict natural calamities on environmental factors like moisture, light,Water distribution and healthiness of crops. Recent days Internet of Things inevitable technology in all the fields, now integrated with agricultural lands for provide knowledge about the environmental factors. This research study helps to address the issues of a forementioned factors, provides the intelligent decision system based on the environmental conditions. In this research, Intelligent Decision Support System (IDSS) designed for monitor the Crop healthiness and various sensors are used for collect the information from the fields accurately and instantly feed to the Intelligent Decision Support System. Crop’s moisture status on the basis of moisture sensor, rain sensor, and light status via LDR, crop health is monitored with the help of image processingunit in IDSS.