/Autonomous Vineyard Canopy and Yield Estimation

Autonomous Vineyard Canopy and Yield Estimation

Portrait of Autonomous Vineyard Canopy and Yield Estimation
Head: Stephen T. Nuske
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Last Project Publication Year: 2012

Vineyard managers want to know the state of their vines — both the size of the vine canopy and the predicted harvest yield. Such information can be used to manage vine vegetative and reproductive growth to improve the efficiency of vineyard operations. Traditional industry practices for gathering crop and canopy estimates are labor-intensive, expensive, destructive, imprecise, spatially coarse and do not scale to large vineyards. The research project aims to design and demonstrate new sensor technologies for autonomously gathering crop and canopy size estimates from a vineyard — expediently, precisely, accurately and at high-resolution — with the goal to improve vineyard efficiency by enabling producers to measure and manage the principal components of grapevine production on an individual vine basis.

Displaying 2 Publications
Modeling and Calibration Visual Yield Estimates in Vineyards
Stephen T. Nuske, Kamal Gupta, Srinivasa G. Narasimhan and Sanjiv Singh

Conference Paper, International Conference on Field and Service Robotics, July, 2012
Visual yield estimation in vineyards: Experiments with different varietals and calibration procedures
Stephen T. Nuske, Supreeth Achar, Kamal Gupta, Srinivasa G. Narasimhan and Sanjiv Singh

Tech. Report, CMU-RI-TR-11-39, Robotics Institute, Carnegie Mellon University, December, 2011

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2017-09-13T10:40:03+00:00