Article
Green & Sustainable Science & Technology
Martinson Ankrah Twumasi, Yuansheng Jiang, Bismark Addai, Zhao Ding, Abbas Ali Chandio, Prince Fosu, Dennis Asante, Anthony Siaw, Frank Osei Danquah, Bright Asiamah Korankye, Gideon Ntim-Amo, Stephen Ansah, Wonder Agbenyo
Summary: The emergence of agricultural cooperatives is seen as essential for farmers in developing countries to overcome constraints and improve income. Factors like access to credit, off-farm work, education level, and peer influence influence household heads' decisions to join cooperatives. Cooperative membership significantly increases both household and farm income levels.
Article
Computer Science, Theory & Methods
Jozsef Dombi, Tamas Jonas
Summary: This paper presents an operator-dependent, analytic membership function family derived from two soft inequalities using the middle hedge operator. This new membership function family is highly flexible and can be easily used in constructing a membership function system for fuzzy control systems.
FUZZY SETS AND SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Hui Li, Junyang Cai
Summary: This paper studies the fuzzy operations for regular symmetric triangular IT2-FVs and proposes operational laws for fuzzy arithmetic operations regarding mutually independent RSTIT2-FVs, aiming to simplify calculations and directly output the inverse credibility. The proposed operational law is then applied to define the expected value operator of the IT2-FV and prove its linearity, with comparative examples provided to verify its efficiency.
Article
Economics
Saidatus Saba, Md. Abdur Rashid Sarker, Jeff Gow
Summary: Despite relying mainly on agriculture, farm households in Bangladesh often engage in non-farm income diversification activities to maintain or improve their standard of living. Factors such as family size, education level of the household head, and participation in local organizations play significant roles in influencing the decisions of farm households regarding non-farm income accumulation.
ECONOMIC ANALYSIS AND POLICY
(2022)
Article
Computer Science, Artificial Intelligence
Sebastian Porebski
Summary: This paper proposes a novel technique called EasIeR for linguistic rule extraction, which focuses on improving the explainability and reliability of decision support systems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Neurosciences
Yufang Dan, Jianwen Tao, Jianjing Fu, Di Zhou
Summary: The paper introduces a Possibilistic Clustering-Promoting semi-supervised learning method, which improves the reliability and robustness of EEG-based emotion recognition by utilizing local weighted mean and a regularization term about fuzzy entropy.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Thermodynamics
Dongran Song, Shanmin Xu, Lingxiang Huang, E. Xia, Chaoneng Huang, Jian Yang, Yang Hu, Fang Fang
Summary: The design optimization of wind turbines is an effective solution for reducing the generation cost of wind power and enhancing its market competitiveness. In this study, a multi-site and multi-objective optimization framework was proposed, which utilized the concept of a virtual representative wind farm and the non-dominated sorting multiobjective harmony algorithm. The subjective and objective combined fuzzy membership function method was also introduced to determine the best parameters.
Article
Multidisciplinary Sciences
Muhammad Hamza Azam, Mohd Hilmi Hasan, Saima Hassan, Said Jadid Abdulkadir
Summary: Fuzzy logic is a method for handling uncertainty and vagueness, with the fuzzy c-means clustering algorithm able to generate type-1 fuzzy membership functions, but limited to producing only Gaussian MF. Therefore, there is a need for a method to generate multiple type-1 fuzzy membership functions for improved accuracy in classification datasets.
Article
Development Studies
Binayak Sen, Paul Dorosh, Mansur Ahmed
Summary: The research reveals an increasing trend towards non-farm employment in rural Bangladeshi households, especially in areas near cities where the shift is particularly rapid, characterized by a transition from pure agriculture households to mixed households.
Article
Computer Science, Artificial Intelligence
Rituparna Chutia
Summary: The existing literature contains numerous ranking methods for intuitionistic fuzzy numbers, but lacks a widely accepted approach. This study developed a new method for ordering intuitionistic fuzzy numbers that complies with reasonable properties. Additionally, the research explored consistency in image ordering, introducing properties that depict the consistency in ranking intuitionistic fuzzy numbers and their corresponding images.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Xin Yan, Hongmiao Zhu
Summary: A new quadratic function based kernel-free support vector machine with Universum is proposed in this paper, which incorporates fuzzy membership functions to handle noise and outliers, improving the model's robustness. The proposed model not only achieves high efficiency, but also demonstrates competitive classification performance.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2021)
Article
Geography
Alison Sheridan, Lucie Newsome, Andrew Lawson, Skye Charry, Susan Field
Summary: In this paper, the authors examine the current farm succession processes in Australia and explore the impact of changing gender norms and increasing asset values on common patterns of farm ownership. Through interviews with 22 farm succession advisors and template analysis, the study reveals that traditional gender norms in patrilineal succession practices have been disrupted. The interplay of increasing asset values and the need for financial security for all family members challenges the traditional gender scripts, resulting in a more complex set of scripts.
JOURNAL OF RURAL STUDIES
(2023)
Article
Agronomy
Min-Han Tsai, Yun-Cih Chang, Ting-Ya Yang, Yir-Hueih Luh
Summary: The adoption of environmentally friendly farming practices, such as organic farming, is a promising option for meeting sustainable development goals in Taiwan. This study examines the determining factors of organic farming adoption, finding that farm households' socio-economic characteristics play a significant role in the decision-making process. The results suggest that household level human capital, such as the proportion of middle-aged or elder members, and proportion of members with a college degree, have a positive effect on the adoption probability. Additionally, differences in adoption factors between full-time and part-time households are explored, revealing that age and educational level of farm operators influence the likelihood of organic farming adoption.
Article
Mathematics
Taiwo Olubunmi Sangodapo, Babatunde Oluwaseun Onasanya, Sarka Mayerova-Hoskova
Summary: This paper investigates the matrix representation and application of fuzzy soft sets in medical diagnosis, introduces a new decision-making method based on fuzzy reference function, and shows that the new method provides more accurate diagnosis of medical conditions.
Article
Computer Science, Theory & Methods
Jamileh Yousefi
Summary: The paper introduces a combined approach to improve the classification accuracy and interpretability of the NEFCLASS classifier in the presence of skewed data by modifying the classifier and implementing a new rule-pruning method.
FUZZY SETS AND SYSTEMS
(2021)
Article
Soil Science
Stephen M. Ichami, Keith D. Shepherd, Ellis Hoffland, George N. Karuku, Jetse J. Stoorvogel
Article
Soil Science
Chantal Mechtildis Johanna Hendriks, Jetse Jacob Stoorvogel, Jose Manuel Alvarez-Martinez, Lieven Claessens, Ignacio Perez-Silos, Jose Barquin
Summary: Mechanistic soil models were used to develop a mechanistic model for digital soil mapping that predicted SOM stocks. The applicability of the mechanistic approach needs to be explored for different soil properties and regions. Theoretically, mechanistic models can replace the statistical relationships in digital soil mapping.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2021)
Editorial Material
Plant Sciences
Gert H. J. Kema, Andre Drenth, Miguel Dita, Kees Jansen, Sietze Vellema, Jetse J. Stoorvogel
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Agronomy
R. A. Segura-Mena, J. J. Stoorvogel, F. Garcia-Bastidas, M. Salacinas-Niez, G. H. J. Kema, J. A. Sandoval
Summary: This paper revisits an important research line from the 1950s to evaluate the potential of soil management for managing Fusarium wilt caused by Fusarium oxysporum f. sp. cubense in banana. The study investigates the influence of soil properties, specifically pH and nitrogen levels, on the disease in two greenhouse experiments. Results show that soil pH and nitrogen levels significantly impact the disease and crop development in both Race 1 and Tropical Race 4 strains of the fungus.
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2021)
Article
Microbiology
Rafael A. M. Segura, Jetse J. Stoorvogel, Fabio A. R. Blanco, Jorge A. E. Sandoval
Summary: This study focused on managing soil chemical properties to reduce the expression of Fusarium wilt in bananas, revealing the significant impact of soil pH, nitrogen, calcium, magnesium, and manganese on plant mortality. Soil nitrogen content was found to be the key factor affecting leaf nutrient concentrations, bunch weight, and clusters per bunch in banana plants.
Article
Agronomy
Rafael A. Segura, Jetse J. Stoorvogel, Jorge A. Sandoval
Summary: The response of soil management, particularly in terms of pH and nitrogen fertilization, on Fusarium wilt in Gros Michel banana varied significantly among different soil types. This complicates the development of standard soil management strategies for mitigating or combating the disease.
Article
Food Science & Technology
Carlos F. B. Alho, Amanda F. da Silva, Chantal M. J. Hendriks, Jetse J. Stoorvogel, Peter J. M. Oosterveer, Eric M. A. Smaling
Summary: Food systems analysis is increasingly used to understand the relationships between production, distribution, and consumption of food products. The study focuses on the position of global export commodities and the major drivers determining the functioning of these systems. Certification schemes, while not a silver bullet solution, have the potential to help positive food system transformations.
Article
Soil Science
Bertin Takoutsing, Gerard B. M. Heuvelink, Jetse J. Stoorvogel, Keith D. Shepherd, Ermias Aynekulu
Summary: Digital soil mapping (DSM) approaches provide soil information by utilizing the relationship between soil properties and environmental variables. This study incorporates measurement error variances in the geostatistical models of soil properties, weights measurements according to their accuracy, and assesses the effects of measurement errors on DSM outputs. The results show that considering measurement errors in the models allows for more accurate quantification of prediction uncertainty. This approach is important for improving soil property estimation and uncertainty quantification in DSM.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Forestry
A. L. Marcotte, J. Limpens, C. R. Stoof, J. J. Stoorvogel
Summary: The risk to vegetation and peat decomposition from alkaline ash inputs after peatland wildfire is poorly understood. This study found that ash inputs were insufficient to increase pH of the acidic peatland soil, and a significant amount of ash was required to cause a noticeable pH increase. The study suggests that elevated soil pH from ash input may be transient rather than long term.
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2022)
Article
Geography
Luciana Delgado, Jetse J. Stoorvogel
Summary: This paper explores the differences in perception of soil characteristics and soil variability between farmers and agricultural specialists, and identifies them as potential causes for low adoption rates. Reducing the information gap between farmers and policies can lead to higher adoption rates of new technologies and increased productivity.
JOURNAL OF RURAL STUDIES
(2022)
Article
Soil Science
Eyasu Elias, Peter F. Okoth, Jetse J. Stoorvogel, Gezahegn Berecha, Beyene Teklu Mellisse, Abate Mekuriaw, Girmay Gebresamuel, Yihenew G. Selassie, Gizachew Kebede Biratu, Eric M. A. Smaling
Summary: To ensure national food security, there is an urgent need to increase cereal yields in the Ethiopian Highlands. A crop response-to-fertilizer program was conducted as part of the CASCAPE project from 2017 to 2019, focusing on maize, teff, and wheat in different soil groups. Multiple nutrient fertilizers were applied, resulting in varying yields and correlations with soil types and organic carbon levels. The use of "recommendation windows" is suggested for developing fertilizer use policies at district levels, combined with soil maps.
NUTRIENT CYCLING IN AGROECOSYSTEMS
(2023)
Review
Environmental Sciences
Pieter Jan Kole, Frank G. A. J. Van Belleghem, Jetse J. Stoorvogel, Ad M. J. Ragas, Ansje J. Lohr
Summary: Tyre granulate used as infill for artificial turf is controversial, with some considering it a good example of reuse and others seeing it as a harmful way to dispose of discarded tyres. Due to loose application, the particles disperse into the environment, raising concerns about environmental and health impacts. This study aims to identify the pathways through which infill leaves a football turf and estimate the quantity of infill leaving the turf.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agriculture, Multidisciplinary
Morgane Batkai, Jean Huge, Dave Huitema, Janjaap Semeijn, Wim Lambrechts, Jetse Stoorvogel
Summary: Building resilient agricultural systems requires transformative action, and social learning is emerging as a promising mechanism for inspiring these transformations. However, there is limited understanding of how or why learning leads to the adoption of transformative practices. While social learning has a positive impact on participants' understanding and adoption of resilient agricultural practices, sustained adoption of transformative actions remains a challenge.
NJAS-IMPACT IN AGRICULTURAL AND LIFE SCIENCES
(2023)
Article
Environmental Studies
Jetse J. Stoorvogel, Vera L. Mulder
Summary: This study examines the options for reviewing global soil property maps, specifically focusing on the S-World database. By comparing S-World with other maps, validating it with independent soil observations, and evaluating its methodology, the research provides insights into the strengths and weaknesses of the database. The results indicate that S-World performs well in capturing variations in soil properties, but improvements can be made by utilizing larger soil profile databases.
Article
Geosciences, Multidisciplinary
Femke Lutz, Stephen Del Grosso, Stephen Ogle, Stephen Williams, Sara Minoli, Susanne Rolinski, Jens Heinke, Jetse J. Stoorvogel, Christoph Mueller
GEOSCIENTIFIC MODEL DEVELOPMENT
(2020)
