Kanwal Preet Kour | Precision Agriculture | Best Paper Award

Dr. Kanwal Preet Kour | Precision Agriculture | Best Paper Award

Assistant Professor, Manipal University Jaipur, India

Dr. Kanwalpreet Kour is a dedicated researcher and assistant professor specializing in IoT, precision agriculture, and networking. With a PhD from Chitkara University and an M.Tech in CSE, she has authored multiple research papers and holds patents in hydroponic saffron cultivation and saffron adulteration detection. She has worked as a faculty member at several reputed institutions and has participated in various FDPs and short-term courses. Dr. Kour is also passionate about research and technology, and her work is recognized in the field of smart agriculture. πŸŒ±πŸ“š

Publication Profile

Google Scholar

Educational Background πŸ“šπŸŽ“

Dr. Kanwalpreet Kour is highly qualified with a strong academic foundation. She holds a PhD from Chitkara University, with her thesis submitted in 2022. She completed her M.Tech in CSE from G.N.D.U, R.C Jalandhar, achieving a GPA of 8.32. Her undergraduate journey includes a B.Tech in CSE from MBSCET Jammu, with a mark of 67%. Dr. Kour attended Govt. Higher Secondary School in Anantnag for her Class XII, scoring 66.6%, and completed her Class X at Iqbal Memorial Institute, Anantnag, with a commendable 81.2%. πŸŒŸπŸ“–

Professional Experience πŸ’ΌπŸ’‘

Dr. Kanwalpreet Kour has diverse experience in academia and industry. She is currently a Research Scholar in the Computer Science Department at Chitkara University since February 2020, contributing to research in IoT and precision agriculture. Previously, she served as an Assistant Professor in the Computer Science Department at Chandigarh University from January 2019 to January 2020. She also worked as an Assistant Professor at Panchkula Engineering College, Barwala for one year (2018-2019). Early in her career, Dr. Kour gained hands-on experience as a Technical Support Engineer at Rooman Group of Companies in Bangalore, where she provided technical assistance to clients. πŸ‘©β€πŸ«πŸ”§

Certifications & Achievements πŸ†πŸ“š

Dr. Kanwalpreet Kour has earned several prestigious certifications and participated in various skill-building events. She completed a six-month internship program with Rooman Technologies in Bangalore, gaining expertise in A+, N+, CCNA, Network Security, and MCIPT Exchange Server 2010, sponsored by NSDC UDAAN. Dr. Kour also showcased her problem-solving skills by participating in Hack@BVP4.0 organized by the CSE Department of Bharti Vidyapeeth College in New Delhi. She further broadened her knowledge by completing a National Quiz on Manufacturing Technology, hosted by MECON and SAEKRCT College Club, and engaging in Energy Conservation & Efficiency projects organized by Punjab Development Agency (PEDA). πŸ”’πŸ’»πŸŒ±

Publications πŸ“š

  • Smart-hydroponic-based framework for saffron cultivation: a precision smart agriculture perspective – Cited by: 51 – 2022 πŸŒΏπŸ“Š
  • Monitoring ambient parameters in the IoT precision agriculture scenario: An approach to sensor selection and hydroponic saffron cultivation – Cited by: 45 – 2022 πŸŒ±πŸ’»
  • Controlling agronomic variables of saffron crop using IoT for sustainable agriculture – Cited by: 33 – 2022 πŸŒΎπŸ“±
  • Towards energy efficient NB-IoT: A survey on evaluating its suitability for smart applications – Cited by: 23 – 2022 βš‘πŸ“Ά
  • SQL injection: Study and augmentation – Cited by: 18 – 2015 πŸ–₯οΈπŸ’»
  • Smart Framework for Quality Check and Determination of Adulterants in Saffron Using Sensors and AquaCrop – Cited by: 7 – 2023 πŸ§ͺπŸ”
  • IoT: Systematic review, architecture, applications and dual impact on industries – Cited by: 7 – 2021 πŸŒβš™οΈ
  • IoT and Fog Enabled Model for Saffron Cultivation in Precision Farming – Cited by: 5 – 2021 🌾🌫️
  • Towards energy efficient NB-IoT: A survey on evaluating its suitability for smart applications – Cited by: 3 – 2021 πŸ“‘πŸ’‘
  • Amalgamation of 5G and Edge Computing for Latency Reduction in Metaverse Using WSN and IoT – Cited by: 2 – 2024 πŸŒπŸ–±οΈ

Lucas Franco | Precision agriculture | Best Researcher Award

Mr. Lucas Franco | Precision agriculture | Best Researcher Award

Mr. Lucas Franco, Universidade Federal de SΓ£o Carlos, Brazil

Lucas is a Senior Developer at iDtrust, specializing in financial solutions with technologies like Java, Python, AWS, and Agile methodologies. He holds a Master’s in Computer Science from UFSCar, focusing on AI-driven drone route optimization for precision agriculture. Lucas also has expertise in automation and data analysis, with experience in the agricultural and industrial sectors. He has worked on projects with Embrapa/Qualcomm and Inselli Engenharia & CiΓͺncia Aplicada, contributing to automation and intelligent systems development. Passionate about learning and research, he is skilled in programming, machine learning, and cloud computing. πŸ’»πŸ€–πŸš

Publication Profile

Google Scholar

Education and Academic Background

Lucas Franco holds a Master’s degree in Computer Science from UFSCar (2017-2019), where he conducted research on optimizing drone routes for precision agriculture using AI, under the guidance of Prof. Dr. Edilson Kato. He earned his Bachelor’s degree in Computer Science from UniSeb (2012-2015) and a degree in Industrial Automation Technology from IFSP (2009-2011). Lucas also completed a technical course in Industrial Automation at CEFET in 2008. His academic background equips him with a strong foundation in computer science, automation, and innovative technology applications. πŸšπŸ€–πŸ’‘

Professional Experience

Lucas Franco is currently a Senior Developer at iDtrust (2018-present), creating financial solutions using Java, Python, AWS Cloud, and Agile Scrum methodology. From 2016 to 2018, he worked on the Embrapa/Qualcomm project, focusing on drone technology for precision agriculture, image processing, and system configuration. He also taught Digital Circuits at DomΓͺnico Technical School (2016). Between 2010-2016, Lucas worked as a Systems Analyst at Inselli Engenharia, conducting research in automation, gas leak detection, embedded systems, software testing, and database management. He also assisted in automation courses at IFSP. πŸ€–πŸ“ŠπŸ’»

Qualifications

Lucas Franco has strong qualifications in Computer Science, proficient in programming languages such as Java, Python, R, MATLAB/SCILAB, C/C++, and Delphi. He has experience with AWS Cloud services, machine learning, data processing, and SQL database management, alongside embedded system development in Linux. In Industrial Automation, he excels in research and development, PLC programming, instrumentation, communication protocols, and bench testing with industrial equipment. Personally, Lucas possesses strong logical reasoning, teamwork skills, interpersonal relationships, and a passion for self-learning, research, and knowledge sharing. He is always eager to contribute and enhance team knowledge. πŸ€–πŸ“š

Research Focus

Lucas dos Santos Franco’s research primarily focuses on drone technology and precision agriculture. His work explores flight path optimization for multirotor Unmanned Aerial Vehicles (UAVs) using Ant Colony Optimization (ACO), a metaheuristic algorithm, to enhance agricultural applications. This research aims to improve aerial coverage in farming practices, optimizing efficiency and reducing operational costs. Additionally, his expertise in machine learning, data processing, and cloud computing complements his research in automation, especially for systems involving UAVs, remote sensing, and georeferencing. His contributions support technological advancements in agriculture and automation. πŸŒΎπŸ€–πŸ“‘

Publication Top Notes

Publication: “A method for planning multirotor Unmanned aerial vehicle flight paths to cover areas using the Ant Colony Optimization metaheuristic”
Cited by: ERR Kato, RS Inoue, L dos Santos Franco
Year: 2025
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