Invited Speaker---Assoc. Prof. Shashi Mehrotra
Department of Computer Science and Engineering, KL University, India
Dr. Shashi Mehrotra completed her Ph. D in Technology from
Birla Institute of Technology, Mesra, Ranchi, India. MTech in Computer Engineering
from ITM Gurgaon, MCA, and M.phil from Madurai Kamaraj University. Her Area of Interest include Information retrieval, Machine Learning, Nature-inspired approaches, IoT. She has professional experience of 24 years in the field of academics at various positions, out of which 14 years teaching experience of undergraduate and post graduate level and research. She is actively engaged in teaching and research in areas of Computer Science. Currently working as an Associate Professor in the Department of Computer Science and Engineering in the KL University, Vaddeswaram, India since 1/12/2017. She Contributed research papers in national/International journal/conferences/symposium of repute. She has organized many professional activities like a special session in conferences/FDPs,
Workshops, expert lectures.
Automatic Irrigation System based on Soil Moisture Detection Using IoT
The past few decades have witnessed a drastic decrease in the availability of natural water reserve, as a result of increasing global population and industrialization. Understanding the need of the available resources is of utmost importance for any nation to function efficiently. In terms of environmental issues, IOT-based smart farming can provide great benefits including more efficient water usage, or optimization of inputs and treatments. Due to ever increasing of the world population, we are facing difficulties in the shortage of water resources, limited availability of land, difficult to manage the costs while meeting the demands of increasing consumption needs of a global population. The influence of population growth on agriculture leads to a miserable impact on the farmer's livelihood. To overcome the mentioned problems we design a system for monitoring the agriculture farm which continuously measures the level of soil moisture of the plants and alert the farmers if the moisture content of particular plants is low via sms or an email. Efficient irrigation technologies help small farmers to improve their livelihoods by allowing for a more efficient use of inputs, (i) use less water to grow the same amount of crops; (ii) more productively farm larger areas of land by using the same amount of water; or (iii) use the same amount of water to grow higher value, more water-intensive crop.
IoT, Smart farming, Sensor