Project

Computer Vision and Machine Learning

Copyright

E. Castello Ferrer

MIT Media Lab, Open Agriculture Initiative

This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The intended outcome is to develop an open-source toolkit for plant analysis that can be adapted to a wide range of controlled-environment devices (ranging from small personal devices to container-size smart farms), enabling the possibility of accurately measuring and quantifying plant morphological traits.



This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The intended outcome is to develop an open-source toolkit for plant analysis that can be adapted to a wide range of controlled-environment devices (ranging from small personal devices to container-size smart farms), enabling the possibility of accurately measuring and quantifying plant morphological traits.