Russian Journal of Biological Physics and Chemisrty Russian Journal of Biological Physics and Chemisrty АКТУАЛЬНЫЕ ВОПРОСЫ БИОЛОГИЧЕСКОЙ ФИЗИКИ И ХИМИИ 2499-9962 54410 ЭКОЛОГИЧЕСКАЯ БИОФИЗИКА ECOLOGICAL BIOPHYSICS ЭКОЛОГИЧЕСКАЯ БИОФИЗИКА CHARACTERIZATION OF THE COMPOSTING PROCESS USING MACHINE LEARNING ALGORITHMS CHARACTERIZATION OF THE COMPOSTING PROCESS USING MACHINE LEARNING ALGORITHMS Molina Monteleón C M Molina Monteleón C M Saviñon Flores M F Saviñon Flores M F Vidal Robles E Vidal Robles E Hernández Santiago A A Hernández Santiago A A ximikad09@mail.ru Arzola Flores J A Arzola Flores J A Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru Meritorious Autonomous University of Puebla ru 25 03 2019 25 03 2019 4 1 128 130 20 03 2019 20 03 2019 https://rusjbpc.ru/en/nauka/article/54410/view

The compost is a biological process of degradation of organic matter that has different applications in agriculture and the remediation of soils. Use of the package for data mining Orange was possible the development of an artificial intelligence algorithm, which was carried out through the treatment of images and their classification in the middle of the methods Logistic Regression, Neural Network, Random Forest, Support Vector Machine (SVM) and k-Nearest-Neighbors. With the algorithm, the stage of the compost process is identified by comparing the images of compost under controlled conditions. It is possible to create a supervised learning algorithm to be able to predict the stages of the composting process using only photographic images of the compost. Because of this, the algorithm that best performs the classification is the multilayer perceptron neural network. This result will allow the development of a portable device that allows identifying the quality of the soil.

The compost is a biological process of degradation of organic matter that has different applications in agriculture and the remediation of soils. Use of the package for data mining Orange was possible the development of an artificial intelligence algorithm, which was carried out through the treatment of images and their classification in the middle of the methods Logistic Regression, Neural Network, Random Forest, Support Vector Machine (SVM) and k-Nearest-Neighbors. With the algorithm, the stage of the compost process is identified by comparing the images of compost under controlled conditions. It is possible to create a supervised learning algorithm to be able to predict the stages of the composting process using only photographic images of the compost. Because of this, the algorithm that best performs the classification is the multilayer perceptron neural network. This result will allow the development of a portable device that allows identifying the quality of the soil.

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