F. Albert

Papers

Total Citations

H-Index

About

F. Albert is a leading researcher in agricultural robotics and precision horticulture, with a focus on developing automated systems for fruit quality assessment. His most cited work, "Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform" (2013, 73 citations), represents a pioneering contribution to on-field fruit grading. This study introduced a mobile, computer-vision-based platform capable of real-time sorting of citrus fruit by size, color, and surface defects, significantly reducing post-harvest losses and labor costs. Albert’s research integrates machine learning, image processing, and mechatronics to create robust, field-deployable solutions that bridge the gap between laboratory algorithms and practical agricultural applications. His work has been instrumental in advancing the concept of "smart farming," enabling growers to make data-driven decisions at the point of harvest. Beyond this flagship paper, Albert has contributed to sensor fusion and autonomous navigation for agricultural vehicles. With a citation record that underscores the practical relevance of his innovations, F. Albert continues to shape the future of sustainable, technology-driven agriculture, inspiring both academic and industry efforts to automate crop management.