Sustainability and Plasticity of the Olive Tree Cultivation in Arid Conditions

Mezghani, Mouna Aïachi; Laaribi, Ibtissem; Zouari, Imen; Mguidich, Amel

doi:10.1007/978-3-030-74660-5_3

Cited by 2 publications

(2 citation statements)

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“…They take water and other mineral salts from soils. Plants comprise 50-75% water, while in humans, water constitutes 60-65% in males and 50-60% in females [3]. It is discreetly affected in operating systems and contributes to the synthesis and decomposition of several organic compounds.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability

Kaddoura

2022

Sustainability

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Water has become intricately linked to the United Nations’ sixteen sustainable development goals. Access to clean drinking water is crucial for health, a fundamental human right, and a component of successful health protection policies. Clean water is a significant health and development issue on a national, regional, and local level. Investments in water supply and sanitation have been shown to produce a net economic advantage in some areas because they reduce adverse health effects and medical expenses more than they cost to implement. However, numerous pollutants are affecting the quality of drinking water. This study evaluates the efficiency of using machine learning (ML) techniques in order to predict the quality of water. Thus, in this paper, a machine learning classifier model is built to predict the quality of water using a real dataset. First, significant features are selected. In the case of the used dataset, all measured characteristics are chosen. Data are split into training and testing subsets. A set of existing ML algorithms is applied, and the results are compared in terms of precision, recall, F1 score, and ROC curve. The results show that support vector machine and k-nearest neighbor are better according to F1-score and ROC AUC values. However, The LASSO LARS and stochastic gradient descent are better based on recall values.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability

Kaddoura

2022

Sustainability

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“…The launched sectoral development plan aims to increase the production of olive trees and olive oil, and to improve the economic and ecological conditions in the more marginalized parts of the country. Because of the olive tree's exceptional longevity and aerial part with evergreen leaves and root system, it can preserve and protect soils from erosion and desertification in arid areas (Aïachi Mezghani et al, 2021). Given that olive oil has undeniable health benefits, an increasing interest is being dedicated to the potential of olive leaves as a source of nutraceuticals and medicinal compounds for the prevention and treatment of several diseases in the Mediterranean countries (Salah et al, 2012;Medina et al, 2019;Acar-Tek and Ağagündüz, 2020).…”

Section: Introductionmentioning

confidence: 99%