Author : Rutuja Jitendra Jadhav 1
Date of Publication :7th February 2017
Abstract: The yield of vineyards varies with the changing weather conditions and other environmental and external factors. It is highly significant for the viticulturists to know about their yields to manage them with efficacy and raise the production to meet the increasing demands of the market. The current methodologies are traditionally sparse, laborious expensive and more importantly not very efficient or reliable. The proposed approach presented is an automated perspective which with computer vision and making use of all visual cues as colour, texture, etc helps to get an estimate of the yield in form of count, weight and provide more reliable management solutions and in-expensive platform of guidelines for the production.
Reference :
-
- Yield Estimation in Vineyards by Visual Grape Detection Stephen Nuske, Supreeth Achar, Terry Bates, Srinivasa Narasimhan and Sanjiv Singh.
- Automated Visual Yield Estimation in Vineyards : Stephen Nuske, Kyle Wilshusen, Supreeth Achar, Luke Yoder, Srinivasa Narasimhan, and Sanjiv Singh Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213 e-mail: nuske@cmu.edu Received 5 September 2013; accepted 30 June 2014
- VINEYARD YIELD ESTIMATION BY VINBOT ROBOT PRELIMINARY RESULTS WITH THE WHITE VARIETY „VIOSINHO‟ Carlos M. LOPES1, João GRAÇA1, Javier SASTRE2, Miguel REYES2, Robert GUZMÁN3,Ricardo BRAGA1, Ana MONTEIRO1, Pedro A. PINTO1.