Land suitability assessment for rapeseed potential cultivation in upper Tigris basin of Turkiye comparing fuzzy and boolean logic

Article Economics

A fuzzy expert system for sustainable local development

Cristian Rizzo et al.

Summary: This research developed a fuzzy logic-based expert system to evaluate the sustainable development of municipalities in a Southern Italian province, highlighting differences in the social, economic, and environmental dimensions.

REGIONAL STUDIES (2022)

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Review Environmental Sciences

Agricultural land systems importance for supporting food security and sustainable development goals: A systematic review

Claudia M. Viana et al.

Summary: Agriculture plays a vital role in food supply, food security, and supporting Sustainable Development Goals. Research in agriculture is diverse and requires interdisciplinary and comprehensive systematic approaches for synthesis.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

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Article Environmental Sciences

Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran

Javid Hayati et al.

Summary: This study used fuzzy logic to explore the habitat suitability of an endangered species, Hedysarum criniferum, in Iran. By measuring and analyzing environmental variables, the most important factors influencing species distribution were identified, and a fuzzy model was developed to classify the species habitats. The findings have implications for predicting optimal habitats for other endangered species in different ecosystems.

ARID LAND RESEARCH AND MANAGEMENT (2022)

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Article Green & Sustainable Science & Technology

Land use for bioenergy: Synergies and trade-offs between sustainable development goals

Ivan Vera et al.

Summary: Bioenergy aims to reduce GHG emissions and contribute to climate change mitigation, but it raises sustainability concerns related to land use for dedicated energy crops. This study identified the main synergies and trade-offs associated with land use for energy crop production using the SDG framework, considering context-specific conditions such as biomass feedstock, previous land use, climate, soil type, and agricultural management. The results highlight the importance of considering these conditions in evaluating synergies and trade-offs for developing effective bioenergy policies and practices.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

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Article Green & Sustainable Science & Technology

Investigating organizational sustainable development through an integrated method of interval-valued intuitionistic fuzzy AHP and WASPAS

M. Alimohammadlou et al.

Summary: Sustainable development is a process of meeting the needs of the present generation without harming the resources for future generations, a study proposes a multi-criteria decision-making method to assess sustainable development at companies, emphasizing the importance of environmental impacts in the main criteria, and provides practical guidance, validating its effectiveness through sensitivity analysis and comparative analysis.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2022)

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Article Mathematics

Determination of Significant Parameters on the Basis of Methods of Mathematical Statistics, and Boolean and Fuzzy Logic

Yulia Shichkina et al.

Summary: This article compares methods based on mathematical statistics, fuzzy logic, and boolean logic for determining significant parameters. The testing results show that for datasets with few parameters, the most accurate method is based on mathematical statistics and boolean logic, while for datasets with a large number of parameters, fuzzy logic is the most suitable method.

MATHEMATICS (2022)

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Article Environmental Sciences

Climate change adaptation processes seen through a resilience lens: Norwegian farmers' handling of the dry summer of 2018

Synnove Stoverud Beitnes et al.

Summary: Climate change and extreme weather events pose significant challenges to food production and security worldwide. This study examines Norwegian farmers' response to the dry summer of 2018, revealing that improving buffer capacity and utilizing networks and resources were key strategies. However, structural changes in the agricultural sector may hinder future improvements in buffer capacity. To achieve long-term resilience, political encouragement and economic support for climate change adaptation are necessary.

ENVIRONMENTAL SCIENCE & POLICY (2022)

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Article Environmental Sciences

Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey

T. Everest et al.

Summary: This study evaluated the agricultural land suitability in the district of Lapseki in Canakkale, Turkey using an analytic hierarchy process, showing that a portion of the land is suitable for agriculture while some is not, with some suitable lands already urbanized. Basic parameters like soil map and elevation data were used in the study.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2021)

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Article Environmental Studies

Farmland abandonment, public goods and the CAP in a marginal area of Italy

Matteo Zavalloni et al.

Summary: Land abandonment is a growing issue in several areas of Europe, prompting a shift in policy objectives. The relationship between agriculture, land abandonment, and the provision of socio-environmental public goods is complex and still under debate. Targeted policies that explicitly connect support to public good provision have shown to have better welfare effects.

LAND USE POLICY (2021)

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Article Biodiversity Conservation

Evaluation of the factors explaining the use of agricultural land: A machine learning and model-agnostic approach

Claudia M. Viana et al.

Summary: This study proposed a model framework to identify factors influencing agricultural land use at a regional level for wheat, maize, and olive grove plantations. By utilizing machine-learning coupled with a model-agnostic approach, they found that biophysical and bioclimatic conditions were more influential than socioeconomic factors. The model provided both global and local interpretations of the most influential factors.

ECOLOGICAL INDICATORS (2021)

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Article Agronomy

Can We Use Machine Learning for Agricultural Land Suitability Assessment?

Anders Bjorn Moller et al.

Summary: This study explored the suitability of specialty crops in Denmark using machine learning and compared it to the mechanistic model ECOCROP, finding little agreement between the two methods. The research suggests that machine learning predicts socioeconomic suitability while the term land suitability may lead to misinterpretation, highlighting the importance of distinguishing between socioeconomic and ecological suitability in agricultural land assessment.

AGRONOMY-BASEL (2021)

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Article Agronomy

Supply potential of lignocellulosic energy crops grown on marginal land and greenhouse gas footprint of advanced biofuels-A spatially explicit assessment under the sustainability criteria of the Renewable Energy Directive Recast

Ivan Vera et al.

Summary: This study quantifies the availability of marginal land, biomass potentials, and greenhouse gas performance of advanced biofuel supply chains in the EU. Advanced biofuels can be produced on marginal lands to reduce CO2 emissions, with smart choices on location, crop type, and supply chain design being crucial to maximize benefits from bioenergy systems.

GLOBAL CHANGE BIOLOGY BIOENERGY (2021)

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Article Environmental Sciences

Using a Mamdani Fuzzy Inference System Model (MFISM) for Ranking Groundwater Quality in an Agri-Environmental Context: Case of the Hammamet-Nabeul Shallow Aquifer (Tunisia)

Soumaya Hajji et al.

Summary: This study evaluates the water quality for irrigation in the Hammamet-Nabeul region using the MFSIM model and applies the Mamdani fuzzy logic method to classify groundwater quality. The results indicate that water quality is influenced by anthropogenic practices such as excessive water and fertilizer use, as well as discharge of partially treated wastewater.

WATER (2021)

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Article Computer Science, Artificial Intelligence