IoT in Agriculture : Smart Farming Dr S Kanchana Assistant Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India ABSTRACT
FARMING CONTROLLING THE FOOD PRODUCTION 2 Background 2 1 Indoor vertical farming Indoor vertical farming is a circular plant production system that allows local production of high-quality fruits and vegetables IVF is a multi-level vegetation production system in which controls all growth factors, such as light,
Cyber Attacks on Smart Farming Infrastructure Sina Sontowski?, Maanak Gupta†, Sai Sree Laya Chukkapalli‡, Mahmoud Abdelsalam§, Sudip Mittal¶, Anupam Joshi , Ravi Sandhu?? ?†Dept of Computer Science, Tennessee Technological University, Cookeville, Tennessee, USA
Future smart farming requires an interdisciplinary approach, including biology, computer and data sciences, engineering and nutrition science UAB has expertise in all the areas required to take up the challenge Impact of the project According to WalletHub com, Alabama’s economy is ranked #41 among all the 50 states in 2017
The proposed frame work of the smart farming includes the artificial intelligence along with the edge computing to enhance the farming output and the efficiency, by enabling the farmer to completely monitor the crop health and soil status regularly The block diagram in the Fig 2 details the involvement of AI in the edge computing for the smart
Scientist (SS) – Computer Applications, the conversion of statistical formula or complex model in digital farm for easy and realm of computer science
from selective control of field operations to expert systems for crop and farm process management Kevwords Agriculture, computer applications, image processing, models, expert systems, many scientists, few have been used yet for real-