Papers
2
Total Citations
53
H-Index
2
About
Pierre Gouton is a leading researcher in multispectral imaging and its applications in precision agriculture and machine vision. His primary research areas include spectral filter array (SFA) camera design, texture analysis, and automated crop monitoring. Gouton's most significant contribution is his work on a prototype SFA camera for joint visible and near-infrared (NIR) acquisition, which enables compact, single-shot multispectral imaging. This innovation, detailed in his 2016 paper (51 citations), enhances machine vision by capturing richer surface property data than standard color imaging. In the agronomic domain, Gouton has advanced crop counting and yield prediction through texture analysis methods for wheat ear extraction, contributing to the development of mobile robots for natural field image acquisition. His research bridges optical engineering and agricultural automation, offering practical solutions for technical institutes like Arvalis. With a focus on simplifying complex imaging systems, Gouton's work has laid groundwork for efficient, real-time multispectral sensing in both industrial and agricultural contexts.
Research Focus
Key Achievements
Top Papers
- 1
- 2Texture analysis with statistical methods for wheat ear extraction2 citations · 2007