Comparison of logistic regression and random forest algorithms for airport’s runway assignment

Kanjanasurat, Isoon; Jungsuwadee, W; Lasakul, A; Benjangkaprasert, C.

doi:10.1088/1742-6596/2497/1/012016

Cited by 1 publication

(1 citation statement)

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“…Logistic regression is a widely used method for binary and multi-class classification tasks. It is a statistical model that assumes a linear relationship between the independent variables and the outcome variable [24]. Logistic regression has been applied in agriculture to examine the impact of factors such as cropland abandonment, direct marketing strategies, market participation, technology adoption, climate-smart agricultural practices, and market accessibility on income in agriculture [25].…”

Section: Empirical Frameworkmentioning

confidence: 99%

Factors Influencing Cassava Sales and Income Generation among Cassava Producers in South Africa

Manganyi,

Lubinga,

Zondo

et al. 2023

Sustainability

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Assessing the factors influencing cassava sales and income generation among South African cassava farmers is critical for informed decision-making, policy formulation, targeted interventions, and the long-term growth of the cassava value chain. By recognizing these elements, stakeholders can improve market efficiency, increase income opportunities, reduce poverty, promote rural development, and nurture a sustainable and inclusive cassava value chain. This study examines factors that influence cassava sales and positive income generation along the cassava value chain. Using a simple sample method, we collected data from 240 farmers in the South African provinces of KwaZulu-Natal, Limpopo, and Mpumalanga. A logistic regression was used to investigate the impact of explanatory variables on the probability of selling cassava and earning a positive income. Findings show that having access to output markets, owning livestock, being a female, and having sizable land under cassava production enhances the possibility of cassava sales and generating a positive income. In contrast, age has a detrimental influence on cassava sales, while access to extension services and harvesting for household food consumption exhibited no substantial effects. The findings underline the importance of market access, gender equality, integrating livestock farming among cassava farmers, support for elderly farmers, and sustainable agricultural practices. To ensure the long-term positive generation of income by farmers and the sustainability of the cassava value chain, policymakers and stakeholders must collaborate and execute policies and interventions that address these essential concerns.

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Section: Empirical Frameworkmentioning

confidence: 99%