Computer vision and machine learning for viticulture technology
This paper gives two contributions to the state-of-the-art for viticulture technology research.
First, we present a comprehensive review of computer vision, image processing, and …
First, we present a comprehensive review of computer vision, image processing, and …
A critical review on the applications of artificial neural networks in winemaking technology
Since their development in 1943, artificial neural networks were extended into applications
in many fields. Last twenty years have brought their introduction into winery, where they …
in many fields. Last twenty years have brought their introduction into winery, where they …
Grape maturity estimation based on seed images and neural networks
A Zuñiga, M Mora, M Oyarce, C Fredes - Engineering Applications of …, 2014 - Elsevier
The grape phenolic maturity is one of the most important parameters to determine the
optimal time for harvest. In this paper we propose an innovative methodology for the …
optimal time for harvest. In this paper we propose an innovative methodology for the …
Predictive models for smart vineyards
FR Luttich - 2019 - scholar.sun.ac.za
We investigate the application of machine learning algorithms to the predictive analysis of
environmental datasets compiled from two distinct vineyards. These datasets include the soil …
environmental datasets compiled from two distinct vineyards. These datasets include the soil …
Olive Ripening Phase Estimation based on Neural Networks
M Mora, J Aliaga, C Fredes - … (CAI 2017)-JAIIO 46-43 CLEI …, 2017 - sedici.unlp.edu.ar
Color of fruits is a relevant parameter to determine ripeness and optimal harvest time. For
olives 6 ripening phases based on skin color distribution have been defined. A widely used …
olives 6 ripening phases based on skin color distribution have been defined. A widely used …
Fruit Maturity Estimation based on Color Scales
M Mora, M Oyarce, C Fredes - XX Congreso Argentino de …, 2014 - sedici.unlp.edu.ar
Color is an important parameter used to estimate fruit maturity and optimal harvest time. In
this paper a general methodology for estimating fruit maturity based on the development of a …
this paper a general methodology for estimating fruit maturity based on the development of a …
A Method to estimate Grape Phenolic Maturity based on Color Features
The phenolic ripeness of the grape is one of the most important parameters to determine the
optimal time for harvest. A recent line of studies proposes visual seed inspection by a trained …
optimal time for harvest. A recent line of studies proposes visual seed inspection by a trained …