An artificial neural network model to predict the effective work time of different agricultural field shapes

An artificial neural network model to predict the effective work time of different agricultural field shapes

The aim of this study was to find a model able to extract the net time per unit of net worked area from different agricultural field basic shapes (square, circle, rectangle and triangle) considering the following variables: field gross area, working speed, number of turnings (these depending on the...

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Bibliographic Details
Main Authors: Marco Fedrizzi, Francesca Antonucci, Giulio Sperandio, Simone Figorilli, Federico Pallottino, Corrado Costa
Format: Article
Language:English
Published: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria 2019-04-01
Series:Spanish Journal of Agricultural Research
Subjects:
multivariate statistics
precision agriculture
non-linear modelling
logistics
agricultural productivity
Online Access:http://revistas.inia.es/index.php/sjar/article/view/13366

Internet

http://revistas.inia.es/index.php/sjar/article/view/13366

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