Abstract
Abstract. This project uses an artificial neural network to calculate the net primary productivity of an organic sugarcane crop in Hatico’s farm, in Cerrito, Valle del Cauca. The pilot scheme used in this project is composed by 6 treatments of nitrogen fertilization based on green manures (poultry manure and cowpea). During the last two crops’ phenological phases, the artificial neural network was provided with hyperspectral data collected in the field. In addition, an exploratory data study was implemented in order to identify anomalous signs related to the light saturation and the curvature geometry. The first network applied was Autoencoder, in order to reduce the dimensionality of the radiometric resolution of the data. The second network applied was Multilayer Perceptron (MLP), to calculate the productivity values of the patches. After having compared the actual productivity values provided by Cenicaña, this project obtained an accuracy of 91.23% in the productivity predictions.
Highlights
Sugarcane is one of the perennial crops with the highest organic matter rate per unit area, as a result, it is one of the most productive crops in the agricultural market around the world (Duveiller et al, 2013)
The Colombian sugar sector is located in the valley of the Cauca’s river, which covers 47 municipalities from the north of Cauca and central Valle del Cauca, to the south of Risaralda. In this region there are 225,560 hectares planted with sugarcane; 25% of them belong to sugar mills and the remaining 75% correspond to around 2,750 cane growers (Asocaña, 2018)
Remote sensing is a non-destructive sampling defined as a set of techniques used to read an object's spectral information based on the way it interacts with energy, which is recorded by sensors (Espín, 2015)
Summary
Sugarcane is one of the perennial crops with the highest organic matter rate per unit area, as a result, it is one of the most productive crops in the agricultural market around the world (Duveiller et al, 2013). The Colombian sugar sector is located in the valley of the Cauca’s river, which covers 47 municipalities from the north of Cauca and central Valle del Cauca, to the south of Risaralda. In this region there are 225,560 hectares planted with sugarcane; 25% of them belong to sugar mills and the remaining 75% correspond to around 2,750 cane growers (Asocaña, 2018). Remote sensing is a non-destructive sampling defined as a set of techniques used to read an object's spectral information based on the way it interacts with energy, which is recorded by sensors (Espín, 2015)
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