Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

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Dr. Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

Dr. Zhandos Shynybay, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Kazakhstan

Dr. Zhandos Shynybay is a distinguished scholar in electrical power engineering āš” and agricultural energy systems šŸŒ¾. He earned his PhD in Energy Providing of Agriculture from Kazakh National Agrarian University. Currently, he serves as Head of the Department of Power Supply and Electric Drive at Almaty University of Power Engineering and Telecommunications. With extensive academic experience, he has authored multiple research papers šŸ“„ on image-based quality assessment and energy efficiency. His contributions include patents šŸ… on agricultural and industrial automation. Recognized with a Certificate of Honor šŸ† from the Ministry of Education and Science of Kazakhstan, Dr. Shynybay is a leader in power systems innovation.

 

Publication Profile

Orcid

Academic and Professional Journey

 

Dr. Zhandos Shynybay is a renowned expert in energy systems and power engineering āš”. He obtained his Bachelorā€™s degree (1997) in Energy Providing of Agriculture from the Kazakh Agricultural Institute and later pursued a Masterā€™s degree (2009) in Electropower Engineering at Kazakh National Agrarian University. He further advanced his academic credentials by earning a PhD (2014) in Energy Providing of Agriculture from the same institution. Dr. Shynybay has dedicated his career to academia, starting as an Assistant Professor (2004-2009) at Kazakh National Agrarian University (KazNARU), later serving as a Senior Lecturer (2009-2014), and subsequently becoming an Associate Professor and Head of the Department (2014-2021). Since 2021, he has been leading as the Head of the Department of Power Supply and Electric Drive at Almaty University of Power Engineering and Telecommunications šŸ«. His expertise spans power systems, electrical drives, and agricultural energy solutions, contributing significantly to research, innovation, and academic leadership. šŸš€

Education

Dr. Zhandos Shynybay is a distinguished academic specializing in power supply and electric drives. He earned his PhD in 2014, following degrees from Kazakh Agricultural Institute and Kazakh National Agrarian University. With over two decades of experience, he currently serves as Head of the “Power Supply and Electric Drive” department at Almaty University of Power Engineering and Telecommunications. His research focuses on energy automation, image analysis, and agricultural engineering. Dr. Shynybay has authored multiple publications and holds patents in energy systems. He received the Certificate of Honor from Kazakhstanā€™s Ministry of Education. šŸ†šŸ“”šŸ”‹

 

Awards and prizes:

Dr. Zhandos Shynybay is a renowned researcher and academic in power engineering, specializing in power supply and electric drives. He earned his PhD in 2014 after completing degrees at Kazakh Agricultural Institute and Kazakh National Agrarian University. Currently, he is the Head of the “Power Supply and Electric Drive” department at Almaty University of Power Engineering and Telecommunications. His research spans energy automation, image analysis, and agricultural engineering. A recipient of the Certificate of Honor from Kazakhstanā€™s Ministry of Education (2020), he has authored numerous publications and holds multiple patents. šŸ†āš™ļøšŸ”‹

 

Research Focus āš”

 

Dr. Zhandos Shynybay specializes in agricultural engineering, renewable energy, and computer vision applications in food quality assessment. His research includes digital image analysis for determining the physical parameters of apples šŸ, optimizing egg quality assessment šŸ„š, and developing automated sorting systems using computer vision. He has also contributed to renewable energy development šŸŒžšŸ’Ø and harvesting optimization šŸŒ¾. His interdisciplinary work integrates AI, automation, and energy systems to enhance efficiency in agriculture and food production. His research has been widely published in high-impact journals and conference proceedings. šŸ“ššŸ”

 

Publication Top Notes

  • 2025: “Methodology for Determining the Main Physical Parameters of Apples by Digital Image Analysis” ā€“ AgriEngineering.

    mdpi.com

  • 2022: “Development of Renewable Energy Sources in the World in the Section of Wind and Solar Energy” ā€“ Mechanics and Technologies.

  • 2021: “Express Methods and Procedures for Determination of the Main Egg Quality Indicators” ā€“ TEM Journal.

  • 2020: “Methodology for Conducting an Optimization Experiment for Harvesting Dry Short-Stalked Grain Crops” ā€“ IOP Conference Series: Earth and Environmental Science.

  • 2019: “Approach for Egg Defects Assessment Using Image Analysis” ā€“ Annals of DAAAM and Proceedings of the International DAAAM Symposium.

  • 2019: “Design and Performance of an Automatic Egg Sorting System Based on Computer Vision” ā€“ TEM Journal.

  • 2018: “An Indirect Approach for Egg Weight Sorting Using Image Processing” ā€“ Journal of Food Measurement and Characterization.

  • 2013: “Express Method and Device for Definition of Potato Tubers Parameters” ā€“ Bulgarian Journal of Agricultural Science.

 

N. R. Patel | Agrometeorology Award | Excellence in Research

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Dr. N. R. Patel | Agrometeorology Award | Excellence in Research

Dr. N. R. Patel, Indian Institute of Remote Sensing, India

Dr. N. R. Patel is a distinguished scientist specializing in Agricultural Remote Sensing and Satellite Agrometeorology. Currently serving as Scientist ‘G’ and Head at the Indian Institute of Remote Sensing, ISRO. With a Ph.D. in Agrometeorology, he holds extensive experience spanning over two decades at various positions within ISRO. Dr. Patel has received numerous accolades including the prestigious Hari Om Ashram Prerit Dr. Vikram Sarabhai Research Award. His contributions have been recognized globally through awards and editorships in prominent journals. šŸŒ±šŸ›°ļøšŸ†

Publication Profile

Google Scholar

šŸŽ“ Academic Journey

Dr. N. R. Patel pursued his academic career with fervor, earning his Bachelor’s, Master’s, and Ph.D. degrees from Gujarat Agricultural University, specializing in Agriculture, Agronomy, and ultimately Agrometeorology in 1996.

šŸŒ Professional Experience

He has held various positions at the Indian Institute of Remote Sensing, ISRO, ascending to the role of Scientist ‘G’ and Head of the Agriculture Department.

šŸ† Awards and Recognition

His remarkable contributions have been acknowledged through numerous awards, including the prestigious Hari Om Ashram Prerit Dr. Vikram Sarabhai Research Award.

Research Focus

Dr. N. R. Patel’s research primarily revolves around leveraging remote sensing techniques to assess and mitigate agricultural drought. His work delves into developing and refining indices like Vegetation Condition Index (VCI), Standardized Precipitation Index (SPI), and Temperature/Vegetation Condition Index (TVDI). By integrating satellite data with meteorological parameters, he enhances understanding of drought dynamics and its impact on crop yield prediction. Additionally, his studies explore spatio-temporal patterns of drought stress, desertification assessment, and carbon-water flux interlinkages in diverse ecosystems. Dr. Patel’s multidisciplinary approach contributes significantly to sustainable agricultural practices and climate resilience. šŸ›°ļøšŸŒ±

 

Publication Top Notes

  1. Assessment of agricultural drought in Rajasthan (India) using remote sensing derived Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI) šŸŒ¾ (2015) – Cited by 402
  2. Analyzing spatial patterns of meteorological drought using standardized precipitation index šŸŒ¦ļø (2007) – Cited by 328
  3. Assessing potential of MODIS derived temperature/vegetation condition index (TVDI) to infer soil moisture statusšŸŒ”ļø (2009) – Cited by 244
  4. Predicting agricultural drought in eastern Rajasthan of India using NDVI and standardized precipitation index šŸŒæ (2013) – Cited by 141
  5. Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite datašŸŒ (2012) – Cited by 140
  6. Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model
  7. Drought risk assessment using remote sensing and GIS: a case study of Gujarat
  8. Canopy temperature and water stress quantificaiton in rainfed pigeonpea (Cajanus cajan (L.) Millsp.)
  9. Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India
  10. Interā€annual variability and climate control of terrestrial net primary productivity over India