Lucas Santos Santana
Papers
3
Total Citations
12
H-Index
3
About
Lucas Santos Santana is a rising researcher at the forefront of digital precision agriculture, with a focused expertise in the integration of machine learning (ML) into mechanized farming systems. His work critically addresses the intersection of autonomous spraying technology and agricultural sustainability, exploring how ML algorithms can dramatically enhance resource efficiency and crop production. Santana’s most cited contributions include a 2025 review on the future prospects of ML in autonomous spraying, which has already garnered 4 citations, signaling its timely relevance to the field. Additionally, his bibliometric analysis of agricultural tractor testing, covering decades of evolution from 1969 onward, provides a foundational map of technological progress in farm machinery. Together, these works demonstrate Santana’s dual strength in both forward-looking innovation and systematic literature review. His research is particularly valuable for students and engineers seeking to understand how data-driven automation is reshaping modern agriculture, from self-governing sprayers to the broader mechanized ecosystem. With his early-career impact already evident, Santana is a key voice in the movement toward smarter, more sustainable farming.
Research Focus
Key Achievements
Top Papers
- 1
- 2Agricultural Tractor Test: A Bibliometric Review4 citations · 2024
- 3