The 8th International Conference on Fuzzy Systems and Data Mining (FSDM 2022)

Abstract: With the rise of new technologies, such as the Internet of Things, raising the productivity of agricultural and farming activities is critical to improving yields and cost-effectiveness. IoT, in particular, can improve the efficiency of agriculture and farming processes by eliminating human intervention through automation. The fast rise of the Internet of Things (IoT)-based tools have changed nearly all life sectors, including business, agriculture, surveillance, etc. These radical developments are upending traditional agricultural practices and presenting new options in the face of various obstacles. IoT aids in collecting data that is useful in the farming sector, such as changes in climatic conditions, soil fertility, amount of water required for crops, irrigation, insect and pest detection, bug location disruption of creatures to the sphere, and horticulture. Furthermore, IoT enables farmers to effectively use technology to monitor their forms remotely round the clock. Several sensors, including distributed WSNs (wireless sensor networks), are utilized for agricultural inspection and control, which is very important due to their exact output and utilization. In addition, cameras are used to keep an eye on the field from afar. Moreover, the current rise in Artificial Intelligence enables farmers to deploy autonomous agricultural equipment and generate more accurate future forecasts based on present and historical circumstances to reduce crop illnesses and insect infestation. These two enabling technologies have together transformed traditional agricultural operations. The goal of this session is to evaluate smart agriculture using IoT approaches in depth. I will discuss the IoT applications, benefits, current obstacles, and solutions in smart agriculture. Additionally, a comprehensive analysis of the future technology and sociological potential of intelligent agricultural systems will be highlighted for adoption by farmers worldwide.

Biography: Prof. Dr.Tanzila Saba earned her PhD in document information security and management from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia in 2012. She won the best student award in the Faculty of Computing UTM for 2012. Currently, she is serving as an Associate Chair of the Information Systems Department in the College of Computer and Information Sciences Prince Sultan University Riyadh KSA. In recent years, her primary research focus is medical imaging, pattern recognition, data mining, MRI analysis, and Soft-computing. She has above 200 publications that have around 9400 citations with an h-index 60. Her most publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who’s Who (S & T) 2012.” Currently, she is the editor and reviewer of reputed journals and on the panel of TPC of international conferences. She is a skilled lady with ABET & NCAAA quality assurance on the accreditation side. She is a senior member of IEEE. Prof.Tanzila is the leader of the Artificial Intelligence & Data Analytics Research Lab at PSU and an active professional member of ACM, AIS and IAENG organizations. She is the PSU WiDS (Women in Data Science) ambassador at Stanford University. She received the Best Researcher award for four consecutive years at PSU and has been nominated as a Research Professor at PSU since September 2019. She has been invited as a keynote speaker at numerous international forums and conferences. She has been positioned among the Top 2% of scientists of the world for the consecutive two years (2020 & 2021), by a research study conducted by Stanford University and Elsevier.