Proceedings of IEEE Conference on Automation Science and Engineering 2015
pdf ·Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products--plant morphology, canopy volume, leaf area index, and fruit counts--using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.
@inproceedings{ das2015devices,
title = "Devices, Systems, and Methods for Automated Monitoring enabling Precision Agriculture",
author = {Jnaneshwar Das and Gareth Cross and Chao Qu and Anurag Makineni and Pratap Tokekar and Yash Mulgaonkar and Vijay Kumar},
booktitle = {Proceedings of IEEE Conference on Automation Science and Engineering},
year = "2015",
doi = "10.1109/CoASE.2015.7294123",
}