In India 60 percent of total cultivated land is fully dependent on rain and if there is less than average rain fall than it results into significant reduction in the overall agricultural production and it leads heavy losses to farmers and ultimately it affects the overall gross domestic production of India. Banana is an important fruit and it is one of good cash crop in India. In this research work, our aim is to design and implement Banana Crop System (Banntex) to sense crucial parameters and early detection of diseases and control using Wireless Sensor Networks (WSN) and Internet of Things (IoT). To implement Banntex we uses advancement of new technology like Internet of Things (IoT), Sensors development and Improved Wireless Sensor Networks, we can design and developed Precision Agriculture systems in which various sensors are used to measure the different parameters like temperature of air and soil, relative humidity, water potential of banana field, pH value of soil, Electric conductivity of soil, salinity of banana field soil, Moisture changes in soil, soil quality, fertility of soil, ground water quality and crop growth. Based on the measured parameters this system can be used to control and automate the farming processes. This precision system empowers farmers to keep updated, early detection of soil parameters and take necessary steps to improve it further. It results to improve the biomass, roots and overall growth of banana crops and finally it increases productivity and improved quality of farming with minimum manual tasks. Experimental results will show the significant improvement in the Banana crop production and Quality of Banana Fruit using our proposed Banntex System.
Wireless Sensor Networks for Early Detection of Forest Fires
