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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

Orcid

Google Scholar

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. 🌾