Xiao-LingWang | Agroecology| Excellence in Academia Award

Xiao-LingWang | Agroecology| Excellence in Academia Award

Prof. Xiao-LingWangHenan University of Science and Technology (河南科技大学) ,China

Dr. Xiaoling Wang is a distinguished professor at the College of Agriculture, Henan University of Science and Technology, specializing in agricultural water-saving and plant physiology under drought stress. With a Ph.D. in ecology from Lanzhou University and extensive postdoctoral experience at the Chinese Academy of Sciences, Dr. Wang has authored numerous influential publications and holds several patents in his field. His research significantly advances understanding of plant growth mechanisms and water utilization, particularly under stress conditions. Dr. Wang’s contributions to agricultural science and technology have garnered national recognition and numerous research grants. 📚🌾💧

 

Publication Profile

Scopus

Academic Qualification

Proff.Xiaoling Wang, born on October 1, 1975, is a distinguished professor at Henan University of Science and Technology. His research focuses on agricultural water saving and plant physiology under drought stress 🌾💧. He earned his Ph.D. in ecology from Lanzhou University in 2005 and has held academic positions since then, including a visiting scholar stint at the University of Connecticut in 2016-2017 🌍📚. He has published extensively on topics like nitrification and cytokinin activity in plants, with numerous articles in high-impact journals 🌿📖. Wang has also led several significant research projects funded by prestigious foundations and holds multiple patents related to plant regrowth 🌱🔬.

 

Research Focus

Dr.Xiaoling Wang’s research focuses primarily on agricultural water saving and the physiological ecology of plants under drought stress. His work explores mechanisms to improve water efficiency and crop productivity in dryland agriculture, with a specific interest in the role of ammonia-oxidizing bacteria and cytokinins in plant growth and stress response. Wang’s research spans crop cultivation, soil-plant interactions, and ecological engineering, aiming to enhance agricultural sustainability and resilience to environmental stresses.

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

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

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

Maria del Mar Ariza-Sentís, a Ph.D. candidate at Wageningen University, specializes in Geo-Information Science and is an AI expert for the FlexiGroBots project. 🤖 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. 🎿🥋🎹

 

Publication Profile

Professional Background

Maria del Mar Ariza-Sentís is a Ph.D. candidate at Wageningen University, specializing in Geo-Information Science. 🎓 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. 🛩️ 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-Sentís’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
📄 Cited by: 221
📅 Year: 2016

🍇 Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery
📄 Cited by: 40
📅 Year: 2023

🔍 Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
📄 Cited by: 17
📅 Year: 2023

📸 Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain
📄 Cited by: 11
📅 Year: 2023

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

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

🍇 Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking
📄 Cited by: 10
📅 Year: 2023

🔄 BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards
📄 Cited by: 3
📅 Year: 2023

🌡️ Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation
📄 Cited by: 2
📅 Year: 2023

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

🔍 Object detection and tracking in Precision Farming: a systematic review
📄 Cited by: 1
📅 Year: 2024

Samuel RAKOTOAMBININA | Agricultural | Best Scholar Award

Mr. Samuel RAKOTOAMBININA | Agricultural | Best Scholar Award

Mr. Samuel RAKOTOAMBININA, CENRADERU/FOFIFA, Madagascar

👨‍🔬 Samuel RAKOTOAMBININA, an accomplished Agro-halieute expert, holds a Ph.D. in Fisheries Sciences from the University of Toliara. With over three decades of experience, he has significantly contributed to freshwater aquaculture in Madagascar. Notably, he served as a Consultant for PADM/GIZ, overseeing technical management and socio-economic studies. His expertise spans from genetic characterization to hatchery management, evident in his numerous publications. Samuel’s dedication to sustainable aquaculture is evident through his leadership roles in research institutions and collaborative projects. 🌊🐟

Publication Profile:

Orcid

 

Education :

Samuel RAKOTOAMBININA’s academic journey reflects a profound dedication to fisheries and aquaculture. 📚 With a Doctorate in Fisheries Sciences from the University of Toliara in 2011, he delved deep into the intricacies of aquatic ecosystems. Prior, he acquired a Master’s in Aquaculture from the University of Montpellier II in 2000, complemented by a Diploma of University Studies in Aquaculture Project Management and Operation. His foundational knowledge stems from earning a Bachelor’s in Fisheries Engineering from the University of Toliara in 1989, preceded by a Bachelor’s in Agricultural Sciences from the University of Madagascar in 1986, specializing in Agricultural and Food Industries. 🎓

Professional Experience :

Samuel RAKOTOAMBININA has been instrumental in enhancing pisciculture practices in Madagascar. 🐟 As a Consultant for PADM/GIZ, he provided expert guidance on continental fish farming. His technical management of FOFIFA’s fish station in Kianjasoa ensured efficient operations. Samuel’s expertise extended to breeding stock maintenance and enhancement, particularly in tilapia and carp. He conducted impactful socio-economic studies on pisciculture in the Middle West region, along with pioneering studies on Nile tilapia farming in floating cages at Lake Itasy. Through training initiatives, site evaluations, and collaborative efforts, he has significantly contributed to the sustainable growth of aquaculture. 🌱

Research Focus:

Samuel RAKOTOAMBININA’s research focus lies predominantly in freshwater aquaculture, particularly in Madagascar’s highlands. 🌊 His recent publication in the Journal of the World Aquaculture Society demonstrates his commitment to improving common carp fry production through small-scale hatcheries. This work signifies his dedication to addressing local aquaculture challenges and enhancing sustainable fish farming practices in diverse environments. Samuel’s expertise in hatchery management and fry production underscores his contributions to the development of aquaculture techniques tailored to the unique conditions of Madagascar’s highland regions. 🐟