Daniela Elena Popescu
Papers
1
Total Citations
171
H-Index
1
About
Daniela Elena Popescu is a leading researcher at the intersection of artificial intelligence and sustainable agriculture, with a particular focus on deep learning applications for precision farming. Her most cited work, the 2021 review "Recognition of Bloom/Yield in Crop Images Using Deep Learning Models for Smart Agriculture," has garnered 171 citations and stands as a foundational resource in the field. In this seminal paper, Popescu systematically analyzes how convolutional neural networks and other deep learning architectures can be deployed to automate crop yield prediction from visual data—addressing critical challenges posed by climate variability, soil heterogeneity, and fertilizer management. Her contributions have helped bridge the gap between computer vision and agronomy, demonstrating how AI-driven monitoring can optimize resource use and boost agricultural productivity. Beyond this flagship review, Popescu's broader research portfolio encompasses smart farming systems, environmental monitoring, and the integration of IoT sensors with machine learning pipelines. Her work is widely cited by both computer scientists developing agricultural AI tools and agronomists seeking practical automation solutions, making her a key figure in the ongoing digital transformation of global food production systems.
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Top Papers
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