Examinando por Autor "Ávila-Navarro, Julián"
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- PublicaciónSólo datosColor Classification Methods for Perennial Weed Detection in Cereal Crops(Lecture Notes in Computer Science, 2019-03-03) Forero Vargas, Manuel Guillermo; Herrera-Rivera, Sergio; Ávila-Navarro, Julián; Franco, Camilo Andres; Rasmussen, Jesper; Nielsen, JonCirsium arvense is an invasive plant normally found in cold climates that affects cereal crops. Therefore, its detection is important to improve crop production. A previous study based on the analysis of aerial photographs focused on its detection using deep learning techniques and established methods based on image processing. This study introduces an image processing technique that generates even better results than those found with machine learning algorithms; this is reflected in aspects such as the accuracy and speed of the detection of the weeds in the cereal crops. The proposed method is based on the detection of the extreme green color characteristic of this plant with respect to the crops. To evaluate the technique, it was compared to six popular machine learning methods using images taken from two different heights: 10 and 50 m. The accuracy obtained with the machine learning techniques was 97.07% at best with execution times of more than 2 min with 200 × 200-pixel subimages, while the accuracy of the proposed image processing method was 98.23% and its execution time was less than 3 s.
- PublicaciónSólo datosThe Potential of the Biodigester as a Useful Tool in Coffee Farms(Applied Sciences (Switzerland), 2021-07-27) Hernández-Sarabia, Mauricio; Sierra-Silva, Juan; Delgadillo-Mirquez, Liliana; Ávila-Navarro, Julián; Carranza, LauraCoffee is a highly productive agricultural product in the department of Tolima. The wet fermentation process of coffee generates about 80% of the waste, which is highly contaminated with organic matter that pollutes water sources, so anaerobic co-digestion techniques are implemented in coffee wastewater using Taiwan type biodigesters. According to the study of three biodigesters fed with coffee waste and animal manure, the aim is to show their potential application in coffee farms. These biodigesters generated a biogas production with CH4 concentrations between 49.1% ± 4.6 and 58.1% ± 2.4 in volume, in addition to the benefit of the biol used as fertilizer in the crops. The biogas produced can be used for cooking and can save around USD 40.17 in natural gas. Therefore, the biodigester is a potential tool to mitigate the harmful effects of coffee cultivation on the surrounding ecosystem and can project coffee production in a sustainable direction.