Wenxiu Hao| Agricultural Engineering | Best Researcher Award

Prof Dr. Wenxiu Hao| Agricultural Engineering | Best Researcher Award

Prof Dr. Wenxiu Hao, Hebei Agricultural University, China

ased on the information provided, Prof. Dr. Wenxiu Hao appears to be a strong candidate for the Best Researcher Award. His extensive experience, achievements, and contributions in the fields of agricultural facility structure and seismic engineering highlight his expertise and dedication to advancing research. Here’s an evaluation of his suitability for the award:

Publication profile

Educational Background and Experience

Prof. Dr. Wenxiu Hao received his Ph.D. in Engineering from Beijing Jiaotong University in 2011, indicating a strong academic foundation in engineering. His role as a Master’s supervisor at Hebei Agricultural University, China, and his experience as a visiting scholar at New Mexico State University, USA, in 2015, demonstrate his international exposure and commitment to academic growth. His educational background and experience position him well as a mentor and leader in his field.

Research Contributions

Prof. Hao has been involved in more than 20 national, provincial, and municipal scientific research projects, either as a leader or participant. His research primarily focuses on agricultural facility structure and seismic engineering, critical areas for improving agricultural infrastructure resilience and safety. These contributions showcase his ability to manage and contribute to large-scale, impactful research projects.

PublicationsΒ 

  • πŸ“„ “Heat storage and release in binary paraffin-hexadecyl amine composites for solar greenhouses in cold climates” – 3 citations, 2024
  • πŸ“„ “Preparation and thermal properties of modified binary paraffin – Hexadecylamine shaped composite phase-change energy storage materials” – 1 citation, 2023
  • πŸ—οΈ “Restoring force model of square tubular columns filled with extra-high-performance reactive powder concrete” – 1 citation, 2022
  • πŸ—οΈ “Study on Seismic Damage Model of Square Steel Tubular Reactive Powder Concrete Columns” – 0 citations, 2022
  • 🌍 “Simulation of the far-field radiation damping for half-plane problem by time domain boundary element method” – 1 citation, 2021
  • πŸ—οΈ “Experimental study on the mechanical behavior of RPC filled square steel tube columns subjected to eccentric compression” – 5 citations, 2018
  • 🌱 “Study on the wall optimization of solar greenhouse based on temperature field experiment and CFD simulation” – 4 citations, 2018
  • πŸ“š “Establishment of the practical education system for civil engineering majors in local colleges and universities under the emerging engineering background” – 0 citations, 2018
  • 🧱 “Experimental study of the working stress state of concrete frame structures through ultrasonic testing” – 3 citations, 2017
  • πŸ› οΈ “Parameters Analysis of Bracing Structure with Friction Energy Dissipation System” – 0 citations, 2014

Awards and Patents

Prof. Hao has obtained more than 10 provincial and municipal science and technology awards, along with national patents. These accolades signify recognition from the academic and scientific communities, underlining the practical applications and innovations of his research. His achievements in securing patents further demonstrate his commitment to advancing engineering practices and technologies.

Mentorship and Guidance

As a mentor, Prof. Hao has guided over 20 master’s students, indicating his dedication to nurturing the next generation of researchers and engineers. His role in supervising students reflects his commitment to education and his ability to inspire and lead young scholars.

Conclusion

Prof. Dr. Wenxiu Hao’s extensive research contributions, international exposure, strong publication record, numerous awards, and dedication to mentoring make him a highly suitable candidate for the Best Researcher Award. His work in agricultural facility structure and seismic engineering is both impactful and innovative, contributing significantly to the advancement of these fields. His achievements not only reflect his personal dedication to research excellence but also his broader influence on the academic and scientific communities.

Mar Ariza-SentΓ­s | Precision Agriculture Award | Young Scientist Award

Ms. Mar Ariza-SentΓ­s | Precision Agriculture Award | Young Scientist Award

Ms. Mar Ariza-SentΓ­s, Wageningen Univresity & Research, Netherlands

Maria del Mar Ariza-SentΓ­s, a Ph.D. candidate at Wageningen University, specializes in Geo-Information Science and is an AI expert for the FlexiGroBots project. πŸ€– With a background in Agricultural and Food Engineering, she’s dedicated to reducing pesticide use through AI models detecting Botrytis cinerea in vineyards. Maria’s expertise spans UAV technology, Big Data, and geospatial analysis. 🌱 As an educator, she has taught courses and moderated MOOCs, contributing significantly to agricultural innovation. Maria’s research publications and conference presentations underscore her commitment to advancing precision agriculture. Beyond academia, she enjoys figure skating, martial arts, and playing the piano. 🎿πŸ₯‹πŸŽΉ

 

Publication Profile

Professional Background

Maria del Mar Ariza-SentΓ­s is a Ph.D. candidate at Wageningen University, specializing in Geo-Information Science. πŸŽ“ With a master’s degree from Wageningen and a bachelor’s from the University of Lleida, she’s earned recognition for her academic achievements. Maria’s expertise extends to AI and UAV technology, evident through her role as an AI expert for the FlexiGroBots project, aiming to reduce pesticide use in agriculture. 🌿 Her diverse professional experience includes internships, teaching positions, and contributions to academic research, highlighting her commitment to advancing agricultural innovation.

Education and Awards

Maria’s dedication to continuous learning is evident through her complementary education, including a EU Drone license and qualifications in phytosanitary product handling. πŸ›©οΈ Her academic excellence has been recognized through numerous honors and awards, reflecting her commitment to excellence in research and academia.

Research Focus

Maria del Mar Ariza-SentΓ­s’s research primarily focuses on the application of unmanned aerial vehicles (UAVs) and AI technologies in precision agriculture, with a specific emphasis on vineyard management. 🌱 Her work spans various areas, including object detection and tracking in precision farming, mapping spatial variability of diseases like Botrytis bunch rot, and optimizing crop management practices through UAV-based data analysis. 🚜 Maria’s innovative research contributes to sustainable agriculture by providing insights into crop health, yield prediction, and resource optimization, ultimately enhancing agricultural efficiency and minimizing environmental impact. 🌾

 

Publication Top Notes

🌿 Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service
πŸ“„ Cited by: 221
πŸ“… Year: 2016

πŸ‡ Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery
πŸ“„ Cited by: 40
πŸ“… Year: 2023

πŸ” Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
πŸ“„ Cited by: 17
πŸ“… Year: 2023

πŸ“Έ Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain
πŸ“„ Cited by: 11
πŸ“… Year: 2023

🌱 Estimation of spinach (Spinacia oleracea) seed yield with 2D UAV data and deep learning
πŸ“„ Cited by: 11
πŸ“… Year: 2023

🌾 Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning
πŸ“„ Cited by: 11
πŸ“… Year: 2022

πŸ‡ Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking
πŸ“„ Cited by: 10
πŸ“… Year: 2023

πŸ”„ BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards
πŸ“„ Cited by: 3
πŸ“… Year: 2023

🌑️ Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation
πŸ“„ Cited by: 2
πŸ“… Year: 2023

🌽 Vegetation indices from unmanned aerial vehicles–mounted sensors to monitor the development of maize (Zea mays L.) under different N rates
πŸ“„ Cited by: 2
πŸ“… Year: 2015

πŸ” Object detection and tracking in Precision Farming: a systematic review
πŸ“„ Cited by: 1
πŸ“… Year: 2024