Bramwel Wanjala | Crop health | Best Paper Award

Mr Bramwel Wanjala | Crop health | Best Paper Award

Senior Research Scientist at  Kenya Agricultural and Livestock Research Organization,  Kenya

Dr. Bramwel Waswa Wanjala is an experienced research scientist at the Kenya Agricultural and Livestock Research Organization (KALRO), where he has worked since 2003. His research primarily focuses on plant disease diagnostics and molecular biology, particularly the epidemiology and management of critical diseases like Maize Lethal Necrosis (MLN), Cassava Brown Streak Disease (CBSV), and sweetpotato viruses. Dr. Wanjala has contributed to the development of laboratory protocols, training of personnel, and the establishment of standardized practices that ensure high-quality lab operations. His work includes using genetic markers such as AFLP, SSRs, SRAP, and ISSR to analyze crop diversity, helping enhance agricultural resilience in Kenya. Dr. Wanjala’s expertise has made him a key figure in plant pathology research, where he supports capacity-building efforts and advances diagnostic methodologies for sustainable agriculture.

 

Publication Profile

Academic Background:

  • Ph.D. in Biotechnology (Expected Dec 2022) – Jomo Kenyatta University of Agriculture and Technology
  • M.Sc. in Biochemistry and Molecular Biology (2013) – Egerton University

Expertise:

Dr. Wanjala is a skilled research scientist specializing in plant disease diagnostics, molecular biology, and crop germplasm management. His work has focused on critical plant diseases in Kenya, including Maize Lethal Necrosis (MLN) and various sweetpotato viruses, employing advanced techniques like ELISA, PCR, Q-PCR, and LAMP. At the International Potato Center (CIP), he led sweetpotato virus diagnostics and developed innovative technologies for rapid vine multiplication, like sandponics, significantly aiding the sweetpotato seed system in Sub-Saharan Africa.

Key Contributions and Achievements:

  • Capacity Building: Trained numerous researchers and technical staff in virus diagnostics across East and Central Africa, including for KEPHIS.
  • Diagnostic Innovations: Validated a ClonDiag Microarray for sweetpotato virus detection, reducing testing time from 6 months to 2 days.
  • MLN Lab Establishment: Set up a diagnostic lab for MLN and trained stakeholders in disease identification and management.
  • Prebasic Seed Production: Helped establish a sustainable sweetpotato seed production system with KEPHIS, distributing over 150,000 vines to farmers.

Professional Affiliations:

  • International Society for Tropical Root Crops (African Branch)
  • African Biotechnology Stakeholders Forum (ABSF)
  • Trustee and Director of Economic Empowerment, JEDIMU Trust

Publication Top Notes

  • “Loop-Mediated Isothermal Amplification assays for on-site detection of the main sweetpotato infecting viruses”
  • “Comparative analysis for producing sweetpotato pre-basic seed using sandponics and conventional systems”
  • “Improving rapid multiplication of sweetpotato (Ipomoea batatas L. (Lam) pre-basic seed using sandponics technology in East Africa”
  • “Storage root yield of sweetpotato as influenced by sweetpotato leaf curl virus and its interaction with sweetpotato feathery mottle virus and Sweetpotato chlorotic stunt virus in Kenya”
  • “Yield potential of sandponically produced sweetpotato (Ipomoea batatas (L.) Lam) pre-basic seed for selected genotypes”

 

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