Luis Cossio-Montefinale

University of Chile, University of O'Higgins

Papers

Total Citations

H-Index

About

Luis Cossio-Montefinale is a researcher at the forefront of agricultural technology, specializing in the intersection of computer vision, robotics, and precision horticulture. His work focuses on developing autonomous systems to address critical labor shortages in fruit farming, particularly within the sweet cherry industry. Cossio-Montefinale’s major contributions include the creation of the "Cherry CO Dataset," a foundational resource for cherry detection, segmentation, and maturity recognition, which has already garnered 10 citations since its 2024 release. This dataset enables computers to visually interpret and interact with cherry trees, automating tasks like yield assessment and harvesting. His 2025 study on orchard sweet cherry color distribution estimation further advances the field by integrating wireless sensor networks with video-based fruit detection, achieving 4 citations. By combining artificial intelligence, Internet of Things (IoT) technologies, and real-time data analysis, Cossio-Montefinale is pioneering scalable solutions that enhance efficiency and sustainability in fruit production. His work not only addresses immediate industry challenges but also lays the groundwork for fully autonomous agricultural systems, making him a key contributor to the future of smart farming.