Xueting Ma | Agricultural | Young Scientist Award

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Dr. Xueting Ma | Agricultural | Young Scientist Award

Xueting Ma | Tarim University | China

Xueting Ma is an Associate Professor at the College of Mechanical and Electrical Engineering, Tarim University, China. He specializes in agricultural product quality evaluation, focusing on non-destructive testing techniques for fruit quality assessment. His research integrates hyperspectral imaging, near-infrared spectroscopy, and advanced analytical methods to enhance fruit detection accuracy. Dr. Ma has published multiple peer-reviewed articles contributing to innovations in food science and technology.

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Summary:

Xueting Ma, an Associate Professor at the College of Mechanical and Electrical Engineering, Tarim University, China, has established himself as a promising young researcher in agricultural product quality evaluation. With a doctoral background in mechanical design and theory and significant expertise in non-destructive testing techniques, he has contributed to advancements in fruit maturity detection and quality assessment. His research integrates hyperspectral imaging, near-infrared spectroscopy, UAV multi-spectrum analysis, and fractal theory, leading to impactful publications in high-ranking journals within food science and technology.

Education

Xueting Ma holds a Doctorate in Mechanical Design and Theory from Northeast Forestry University, where he also completed his undergraduate studies in Mechanical and Electronic Engineering. He has additionally pursued academic development at China Agricultural University while continuing his professional research work at Tarim University.

Experience

Xueting Ma is currently serving as an Associate Professor at the College of Mechanical and Electrical Engineering, Tarim University, China. Since joining the institution, he has been dedicated to advancing research in the field of agricultural product quality evaluation, with a particular emphasis on non-destructive testing techniques for fruit quality assessment.

Research Focus

His primary research focus is on developing innovative, non-destructive methods for evaluating fruit quality and improving detection accuracy through advanced imaging and analytical technologies. He has made notable contributions in understanding and enhancing apple quality detection using NIRS, hyperspectral imaging, and bibliometric analysis of fruit quality research trends.

Skills

He possesses expertise in agricultural product quality evaluation, hyperspectral imaging technology, near-infrared spectroscopy (NIRS), fractal theory applications, and scientometric analysis. His skills extend to advanced methodologies in detecting fruit quality parameters such as soluble solids and sugar content.

Awards

Throughout his academic journey, Xueting Ma has contributed significantly to the field of agricultural product testing, earning recognition through impactful research publications in high-quality journals within the food science and technology domain.

Publications

Study on the Maturity Detection Method of Winter Jujube (Ziziphus jujuba ‘Dongzao’) Based on Near-Infrared Spectroscopy Technology
Authors: Xueting Ma, Xin Luo, Ganggang Guo, Quanzhong Zhang, Huaping Luo
Year: 2025
Journal: Journal of Food Composition and Analysis

Research on Quality Detection of Jujube (Ziziphus jujuba Mill.) Fruit Based on UAV Multi-Spectrum
Authors: Xueting Ma, Congying Wang, Huaping Luo, Ganggang Guo
Year: 2024
Journal: Applied Sciences

Effects of Hairy Vetch Cultivation on Soil Quality and Productivity in Chinese Orchards: A Meta-Analysis
Authors: Xueting Ma, Jiean Liao, Jinfei Zhao, Linqiao Xi
Year: 2023
Journal: Food Science and Technology

Evaluation of Maturity and Moisture Content in Fresh Jujube Using Fractal Theory and Tissue Images
Authors: Xueting Ma, Fei Zhang, Huaping Luo, Feng Gao
Year: 2023
Journal: Food Science and Technology

Experiment and Meta-Analysis on the Effects of Grass Cultivation in the Orchard on Fruit Yield and Quality
Authors: Xueting Ma, Jiean Liao, Jinfei Zhao
Year: 2023
Journal: Food Science and Technology


Conclusion:

Given his academic excellence, innovative research contributions, and strong publication record, Xueting Ma is highly suitable for the Research for Young Scientist Award. With continued efforts in global collaboration and research leadership, he has the potential to become a prominent figure in agricultural product quality evaluation and food science technology.

Jyoti Sharma | Soil Mapping | Best Researcher Award

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Dr. Jyoti Sharma | Soil Mapping | Best Researcher Award

Jyoti Sharma | Soil Mapping | Best Researcher Award

Dr. Jyoti Sharma, an accomplished physicist and remote sensing expert, specializes in soil mapping and land surface parameter estimation. Currently serving as a Project Scientist at the India Meteorological Department, New Delhi, she has significant expertise in satellite data processing, microwave observations, and hydrological applications. Her research advances soil moisture retrieval techniques, contributing to improved environmental monitoring and sustainable resource management.

Profile

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Summary:

Dr. Jyoti Sharma is a highly skilled researcher specializing in soil mapping, soil moisture retrieval, and remote sensing applications. With a Ph.D. in Physics from IIT BHU and extensive experience as a Project Scientist at the India Meteorological Department, she has demonstrated expertise in satellite data processing, radar analysis, and hydrological modeling. Her research contributions, including multiple publications in top-tier journals and an international award recognition, highlight her significant impact on advancing soil mapping and environmental monitoring techniques.

Education

Jyoti Sharma holds a PhD in Physics from the Indian Institute of Technology (IIT), BHU, Varanasi, with research focused on the retrieval of soil moisture and biophysical parameters using microwave spaceborne observations. She completed her Master of Science in Physics and Bachelor of Science in Physics, Mathematics, and Chemistry from M. J. P. Rohilkhand University, Bareilly.

Experience

She is currently working as a Project Scientist at the India Meteorological Department, New Delhi. Previously, she served as a Research Associate in the Hydrology Process Group at the National Centre for Earth Science Studies, Thiruvananthapuram, Kerala.

Research Focus

Her research primarily focuses on soil moisture retrieval, land surface parameter estimation, and biophysical characterization using microwave remote sensing data. She integrates satellite observations with advanced data processing techniques for hydrological and environmental applications.

Skills

Her expertise includes programming in Python, R, and MATLAB, along with proficiency in LU/LC mapping, image processing, data analysis, satellite and radar data processing, and Doppler Weather Radar analysis. She is skilled in working with multiple satellite datasets including SMAP, Aqua and Terra MODIS, Sentinel-1 SAR, Sentinel-2, Sentinel-3, LANDSAT, TRMM, and IMERGE. She is experienced with remote sensing and GIS software such as ENVI, ArcGIS, SNAP, QGIS, and Google Earth Engine, and is also proficient in LaTeX, Microsoft Office, Origin, and HDFview. She has hands-on experience with instruments including LI-2200C Plant Canopy Analyzer, AccuPAR LP-80 Ceptometer, SPAD Chlorophyll Content Meter, and Hydra Go soil moisture sensor.

Awards

She received the Best Poster Award in the “Retrieval and Assessment” category at the International Soil Moisture School (ISMS) organized by IEEE-GRSS at IIT Bombay. She also qualified CSIR-NET JRF in Physical Science.

Publications

  • Development of a new vegetation modulated soil moisture index for the spatial disaggregation of SMAP soil moisture data product

    • Authors: J. Sharma, R. Prasad, P.K. Srivastava, S.A. Yadav, S.K. Singh, B. Verma

    • Year: 2024

    • Journal: Physics and Chemistry of the Earth, Parts A/B/C

       

  • Incorporation of first-order backscattered power in Water Cloud Model for improving the Leaf Area Index and Soil Moisture retrieval using dual-polarized Sentinel-1 SAR data

    • Authors: Shubham Kumar Singh, Rajendra Prasad, Prashant K. Srivastava, Suraj A. Yadav, Vijay P. Yadav, Jyoti Sharma

    • Year: 2023

    • Journal: Remote Sensing of Environment

       

  • Challenges in Radar remote sensing

    • Authors: Jyoti Sharma, Prashant K. Srivastava, Rajendra Prasad, Sumit Chaudhary Kumar, Suraj A. Yadav, Swati Suman, Varsha Pandey, Rishabh Singh, Dileep Kumar Gupta

    • Year: 2022

    • Journal: Radar Remote Sensing

  • Far-field bistatic scattering simulation for rice crop biophysical parameters retrieval using modified radiative transfer model at X- and C-band

    • Authors: S.A. Yadav, R. Prasad, V.P. Yadav, B. Verma, S.K. Singh, J. Sharma, P.K. Srivastava

    • Year: 2022

    • Journal: Remote Sensing of Environment

Conclusion:

Dr. Jyoti Sharma is highly suitable for the Best Researcher Award. With continued advancements in global collaborations and leadership roles, she has the potential to further excel as a leading scientist in soil and environmental research.