T Akilan | Precision Agriculture | Excellence in Innovation

Mr  T Akilan |  Precision Agriculture |  Excellence in Innovation

Research Coordinator at  Amity University Kolkata,  India

Akilan Tamilselvan is dedicated to achieving academic excellence and delivering high-quality education with a strong focus on Computer Science. His commitment to fostering a deep understanding of the subject aims to inspire and equip students with the skills needed to excel in the ever-evolving field of technology.

Profile:

Educational Qualifications:

  • Ph.D. (Computer Science and Engineering)
    Galgotias University, Registered in Winter, January 2021
  • M.E. (Computer Science and Engineering)
    Annamalai University, Chidambaram, India (2013-2015)
    Aggregate: 7.58/10.0
  • B.E. (Computer Science and Engineering)
    Annamalai University, Chidambaram, India (2009-2013)
    Aggregate: 7.86/10.0
  • HSC
    Ramasamy Chettiar Town Higher Secondary School, Chidambaram, India (2009)
    Aggregate: 61.75%
  • SSLC
    Ramasamy Chettiar Town Higher Secondary School, Chidambaram, India (2007)
    Aggregate: 71.8%

Teaching Experience

  • Subjects Taught for B.Tech:
    • Introduction to Microprocessor
    • Object Oriented System Design
    • Web Technology
    • Operating System

Professional Experience

  • Research Coordinator
    Amity University, Kolkata, India (September 2022 – Present)
  • Assistant Professor
    Apex Institute of Technology (Chandigarh University), Mohali, Punjab, India (August 2022 – September 2022)
  • Assistant Professor
    Galgotias College of Engineering and Technology, Greater Noida, Delhi NCR, India (July 2018 – July 2022)
  • Data Science Team Lead
    Singapore Leads Inc., India (January 2018 – June 2018)
  • Operations Controller
    SBP Global Pte Ltd, Singapore (September 2017 – November 2017)
  • Logistics Assistant
    Compass Rose Freight Forwarding System Pte Ltd, Singapore (July 2016 – August 2017)

Publication Top Notes:

  • Reusing drainage water for leaching of saline and sodic soils in the Khuzestan province, Iran. Water Supply. (2024). DOI: 10.2166/ws.2024.091
  • Investigating the long-term effect of livestock grazing, slope location, and sampling depth on soil moisture characteristic curves. Rangeland Ecology & Management. (2024). DOI: 10.1016/j.rama.2024.01.005
  • Effect of precipitation and sediment concentration on the loss of nitrogen and phosphorus in the Pasikhan River. Journal of Water Supply: Research and Technology-Aqua. (2022). DOI: 10.2166/aqua.2022.097
  • Variation entry of sediment, organic matter, and different forms of phosphorus and nitrogen in flood and normal events in the Anzali wetland. Journal of Water and Climate Change. (2022). DOI: 10.2166/wcc.2021.456
  • Assessing the distribution of cadmium under different land-use types and its effect on human health in different gender and age groups. Environmental Science and Pollution Research. (2021). DOI: 10.1007/s11356-021-12881-2
  • Investigation of soil compaction on yield and agronomic traits of wheat under saline and non-saline soils. Archives of Agronomy and Soil Science. (2018). DOI: 10.1080/03650340.2018.1431832

 

Houda Orchi |  Crop Diseases | FutureFarming Leadership Award

Ms  Houda Orchi |  Crop Diseases | FutureFarming Leadership Award

Phd Student |  ENSEM |  Morocco

ORCHI Houda, born on May 22, 1994, is a Moroccan PhD student specializing in Artificial Intelligence and Computer Vision at The National School of Electricity and Mechanics, University of Hassan II Casablanca. Supervised by Dr. Mohamed Sadik and Dr. Mohammed Khaldoun, her research focuses on developing a platform for detecting and identifying crop diseases. She holds an Engineer degree in Mechatronics Engineering from the National School of Applied Sciences of Tetouan and a B2 German certificate from the Goethe Institute. Houda has diverse professional experience, including a full-time role as a Research Assistant at UQAM’s computer science laboratory and various internships with notable organizations such as OCP, Renault Nissan, and Peugeot-Citroën. Her technical expertise spans AI, computer vision, mechatronics, robotics, automotive technology, and embedded systems. Houda is proficient in managing multiple tasks under pressure and excels in manufacturing and product development environments.

Profile:

🎓 Academic Qualification:

2019 – Present: PhD student in Artificial Intelligence and Computer Vision at The National School of Electricity and Mechanics, University of Hassan II Casablanca, supervised by Dr. Mohamed Sadik and Dr. Mohammed Khaldoun. Thesis Title: Development of Detection and Identification of Crop Diseases Platform. 2018 – 2019: German Certificate B2 from the Goethe Institute. 2014 – 2018: Engineer Degree in Mechatronics Engineering at the National School of Applied Sciences of Tetouan. 2012 – 2014: Preparatory Cycle at the National School of Applied Sciences. 2011 – 2012: High School Diploma in Mathematical Sciences A.

💼 Professional Experience:

31 October 2023 – Present: Research Assistant at Computer Science Laboratory, UQAM. 01 February – 30 June 2018: Mechatronics Engineer at OCP Jorf Lasfar – worked on clock synchronization and data exchange automation. 01 July – 01 September 2017: Internship at Renault Nissan – responsible for the design and installation of a conveyor in the assembly department. 02 August – 02 September 2016: Initiation internship at Savola Maroc – focused on repair and maintenance of engines and pumps. 01 July – 01 August 2016: Observation internship at Sopriam Peugeot – engaged in automotive diagnostics and engine repair.

🔧 Skills and Technical Knowledge:

Technical Skills: Artificial Intelligence, Computer Vision, Internet of Things, Mechanical Production, Machine Design, Mechatronics Systems, Robotics, Theory of Mechanisms, Industrial Design, General Technology, Automotive Technology, Automation, and Instrumentation. Additional Knowledge: Embedded Systems, Electrical Networks, Signals, Project and Quality Management, Production Management, Electrical Engineering, Power Electronics, Economy, Relational Database, General Accounting.

Research Focus: Crop Diseases

Houda’s current research is centered on the development of a platform for the detection and identification of crop diseases using artificial intelligence and computer vision technologies. This innovative work aims to enhance agricultural productivity and sustainability by providing precise and timely identification of various crop diseases, thereby enabling better management and treatment strategies. 🌱📊

 

Publication Top Notes:

  • On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey
    • Authors: H. Orchi, M. Sadik, M. Khaldoun
    • Journal: Agriculture, Volume 12, Issue 1, Article 9, 2021
    • Citations: 98
  • Real-Time Detection of Crop Leaf Diseases Using Enhanced YOLOv8 Algorithm
    • Authors: H. Orchi, M. Sadik, M. Khaldoun, E. Sabir
    • Conference: 2023 International Wireless Communications and Mobile Computing (IWCMC)
    • Citations: 10
  • Automation of Crop Disease Detection Through Conventional Machine Learning and Deep Transfer Learning Approaches
    • Authors: H. Orchi, M. Sadik, M. Khaldoun, E. Sabir
    • Journal: Agriculture, Volume 13, Issue 2, Article 352, 2023
    • Citations: 9
  • A General Survey on Plants Disease Detection Using Image Processing, Deep Transfer Learning, and Machine Learning Techniques
    • Authors: H. Orchi, M. Sadik, M. Khaldoun
    • Conference: Ubiquitous Networking: 7th International Symposium, UNet 2021, Virtual Event
    • Citations: 4
  • A Novel Hybrid Deep Learning Model for Crop Disease Detection Using BEGAN
    • Authors: H. Orchi, M. Sadik, M. Khaldoun
    • Conference: International Symposium on Ubiquitous Networking, 267-283, 2022
    • Citations: 2