Jevelin Swain | Cellular Stress Response | Young Researcher Award

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Dr. Jevelin Swain | Cellular Stress Response | Young Researcher Award

Odisha University of Agriculture and Technology | India

Dr. Jevelin Swain’s research in Plant Physiology focuses on advancing sustainable nutrient management and stress mitigation strategies in rice cultivation. His work integrates physiological, biochemical, and agronomic approaches to improve crop resilience and productivity under challenging soil and environmental conditions. During his doctoral research, he investigated the role of potassium nutrition and kinetin foliar application in enhancing physiological efficiency, yield, and grain quality of rice under iron toxicity stress, contributing valuable insights into nutrient-stress interactions and adaptive plant responses. His postgraduate research examined paddy straw incorporation as a sustainable residue management practice, emphasizing its effects on soil health, nutrient cycling, and rice productivity in lowland ecosystems. These studies collectively advance the understanding of plant–soil interactions and resource-use efficiency, promoting eco-friendly cultivation practices for long-term agricultural sustainability. Dr. Swain’s work exemplifies the integration of plant physiology and sustainable agronomy for developing strategies that mitigate abiotic stress impacts while enhancing productivity and grain quality in staple food crops like rice. His research outputs contribute to the growing body of knowledge supporting climate-resilient and nutrient-efficient rice production systems essential for food security and environmental conservation.

Profile: Scopus

Featured Publications:

  • Swain, J. (2022). Effect of paddy straw incorporation on growth and yield attributes of low land rice. Bangladesh Journal of Botany, SCIE, Scopus indexed. NAAS rating: 6.40.

  • Swain, J. (2024). Iron toxicity in lowland rice influenced by application of high potassic fertilizer with suitable cultivars enhanced productivity and climate resilience. Plant Science Today, Scopus, Biosis Previews indexed. NAAS rating: 6.70.

  • Swain, J. (2024). Nutrient use efficiency of rice genotypes under iron toxic lowland soil influenced by high potassic fertiliser and foliar application of kinetin. Plant Science Today, Scopus, Biosis Previews indexed. NAAS rating: 6.70.

  • Swain, J. (2025). Synergistic role of potassium fertilizer and kinetin in mitigating iron toxicity and enhancing yield in lowland rice. Scientific Reports, SCIE, Scopus indexed. NAAS rating: 9.80.

 

 

Siyabonga Ntshalintshali | Plant Sciences | Young Scientist Award

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Mr. Siyabonga Ntshalintshali | Plant Sciences | Young Scientist Award

University of Zululand | South Africa

Mr. Siyabonga Ntshalintshali is a Master’s candidate in Plant Sciences at the University of Zululand with research expertise in plant stress physiology, focusing on abiotic and biotic stress tolerance mechanisms in food and indigenous crops. His academic journey builds on a BSc in Agronomy, where he earned the Dean’s Award twice for academic excellence. He has contributed to advancing sustainable agriculture through published and ongoing studies on nitrate priming in Bambara groundnut under salinity stress, host–pathogen interactions involving Fusarium verticillioides and maize, and the effects of Macrophomina phaseolina on crop performance. His research outputs include two peer-reviewed journal articles in the Journal of Agronomy and Crop Science (Wiley) and Plant Stress (Elsevier), both indexed in Scopus and Web of Science, with additional manuscripts submitted to Science of the Total Environment and Planta. According to Google Scholar, he has authored 2 documents with a citation count of 2 and an h-index of 1, reflecting an emerging but growing impact in his field. Siyabonga’s commitment to promoting underutilized crops such as Bambara groundnut has been recognized through awards, including second-best presentation at a scientific symposium. He is a registered Candidate Natural Scientist with SACNASP and actively contributes to advancing resilient and sustainable agricultural systems.

Profiles: Google Scholar | Scopus

Featured Publications:

Khawula, S., Daniel, A. I., Nyawo, N., Ndlazi, K., Sibiya, S., Ntshalintshali, S., … (2025). Optimizing plant resilience with growth-promoting Rhizobacteria under abiotic and biotic stress conditions. Plant Stress, 100949.

Ntshalintshali, S., Sibiya, S. G. P., Mabuza, N., Nkomo, M., & Buthelezi, L. G. (2025). Seed priming in legume crops: Mechanisms, applications and future directions for enhanced germination, growth and abiotic stress tolerance in sustainable agriculture: A review. Journal of Agronomy and Crop Science, 211(5), e70115.

Kuradusenge Martin | Crop Yield | Best Researcher Award

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Dr  Kuradusenge  Martin |  Crop Yield  |  Best Researcher Award

Lecturer at  University of Rwanda, Rwanda

Dr. Martin Kuradusenge is a lecturer at the University of Rwanda’s College of Science and Technology, School of ICT, Department of Computer and Software Engineering. He holds a PhD in Internet of Things (Wireless Intelligent Sensor Network) from the University of Rwanda. Additionally, he earned a Master’s degree in Communications Management (2009) and a BSc. degree in Computer Engineering and Information Technology (2002) from the University of Rwanda (formerly Kigali Institute of Science and Technology). He also possesses a Postgraduate Certificate in Learning and Teaching in Higher Education from the University of Rwanda, College of Education.

Profile

🎓 Education:

PhD in Internet of Things (University of Rwanda), MSc in Communications Management, BSc in Computer Engineering and Information Technology.

🌍 Research:

Currently leads projects on IoT-based crop yield prediction and early warning systems for natural disasters. He has published extensively, notably on machine learning applications in agriculture and environmental management.

Research Focus Crop Yield:

Dr. Martin Kuradusenge’s research includes a focus on Crop Yield prediction using IoT and machine learning models. He applies these technologies to enhance agricultural productivity and food security, particularly in Rwanda. His work integrates data-driven approaches to optimize crop management and mitigate environmental risks affecting yields.

Citations:

  • Total Citations: 158
  • Citations Since 2019: 156
  • h-index: 4
  • i10-index: 3

📄 Publication:

  • Crop yield prediction using machine learning models: Case of Irish potato and maize
    • Published in Agriculture, 2023
  • Rainfall-induced landslide prediction using machine learning models: The case of Ngororero District, Rwanda
    • Published in International Journal of Environmental Research and Public Health, 2020
  • Comparison of random forest and support vector machine regression models for forecasting road accidents
    • Published in Scientific African, 2023
  • Experimental Study of Site‐Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda
    • Published in Geofluids, 2021
  • SMART-CYPS: An intelligent Internet of Things and Machine Learning powered crop yield prediction system for food security
    • Published in 2024
  • Risks Reduction of Rainfall-Induced Landslides-A Site-Specific Early Warning System (SSEWS)
    • Published in ICT Systems and Sustainability, 2022
  • Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning
    • Published in Software, 2024
  • Predictive modelling and alert system for rainfall induced landslides
    • Published by University of Rwanda (College of Science and Technology), 2022