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Grape maturity estimation based on seed images and neural networks. Computer vision-a objective, rapid and non-contact quality evaluation tool for the food industry.

Architectures, Algorithms, and Applications. Pattern recognition of fruit shape based on the concept of chaos and neural networks. Housing Studies, 17 6pp.

Bulletin of Mathematical Biophysics, 5, pp. Explorations in the microstructure of cognition. Computers of Electronics in Agriculture, ; 61 2: Journal Food Process Engineering, ; Journal Food Engineering, ; 61 1: Cornell Aeronautical Laboratory, Journal of Real Estate Research, 22 3dee.


Journal Food Engineering, ; Neural network modelling to predict weekly yields of sweet peppers in a commercial greenhouse. Predictions of apple bruise volume using artificial neural network.

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Procedia Engineering, ; Biosystems Engineering, ; 83 4: December 33 3: Fundamentos, modelos y aplicaciones. Journal of Agricultural Engineering Research, ; 77 2: Continuous real-time monitoring and neural network modeling of apple slices color changes during hot air drying, Food and Bioproducts Processing.

Secretariado de Publicaciones de la Universidad de Murcia. The Roots of Backpropagation: Classification of fruits by a boltzmann perceptron neural network, Automatica, ; 28 5: Foreword, ; 87 1: Enero – Marzo; ; ; Part C, ; Computers and Electronics in Agriculture, ; 18 Computers of Electronics in Agriculture, ; Scientia Horticulturae, ; Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network.

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Classification of fruits using Probabilistic Neural Networks – Improvement using color features. Procedia Computer Science, ; Perth, Western Australia, January.

Prediction of mass transfer kinetics during osmotic dehydration of apples using neural networks. Comparison between neural network and multiple regression approaches: An Artificial Neuronal Network real estate price predictor.


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Methodologies, Perspectives, and Applications. Apple classification based on surface bruises using image processing and neural aprticadas. Computers and Electronics in Agriculture, ; 29 Classification of apple surface features using machine vision and neural networks. An intelligent control for greenhouse automation, oriented by the concepts of SPA and SFA – an application to a post-harvest process.

Modeling of physical properties of apple slices Golab variety using artificial neural networks. Land Concretk Review; 2 1pp. Select Page with selected: Apple sorting using artificial neural networks and spectral imaging. Lett, ; 28