A decision support tool to enhance agricultural growth in the Mékrou river basin (West Africa)

Údias, Ángel; Pastori, Marco; Celine, Dondeynaz; Moreno, Cesar Carmona; Ali, Abdou; Cattaneo, Luigi; Cano, Javier

doi:10.1016/j.compag.2018.09.037

Cited by 42 publications

(18 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the nodes of this group, contributions to sustainable management in agricultural processes were distinguished to improve the state of the soil and practices for the care and development of plantations, identify the main actors, and increase community awareness. Support models for decision making are one of the main components needed to handle and analyze a heterogeneity of data and problems related to the variance of resources, commercialization, and production trends [71,[80][81][82]. However, no contributions were identified that indicate learning or mechanisms for the relationship management and intervention of different actors.…”

Section: Management 11mentioning

confidence: 99%

“…making are one of the main components needed to handle and analyze a heterogeneity of data and problems related to the variance of resources, commercialization, and production trends [71,[80][81][82]. However, no contributions were identified that indicate learning or mechanisms for the relationship management and intervention of different actors.…”

Section: Governance and Policy 67mentioning

confidence: 99%

See 1 more Smart Citation

Systemic Design for Food Self-Sufficiency in Urban Areas

et al. 2020

View full text Add to dashboard Cite

This article adopts a systemic approach to address the problem of the operationalization of relationships between actors conducive to food self-sufficiency in urban areas. Through the use of Social Network Analysis (SNA), the literature on urban agriculture was analyzed, detecting eight key trends and topic areas. This information was used to design a generic recursive organizational structure with the identification of the key roles and functions for management and governance in the multi-level and multi-stakeholder relationships of a sustainable urban self-sufficient food production system, inspired by the principles of complexity management and organizational cybernetics. Methodologically, this is the first application that combines the exploratory capability of SNA and the recursive structure of the Viable System Model (VSM) to propose applicable organizational structures in any urban area, suggesting a new route for the study and application of systemic thinking in the development of urban agriculture schemes. However, due to the conceptual nature of this work, this study opens a discussion on how we can rethink interactions to seek continuous adaptation in food self-sufficiency, provide tools that foster inclusion, and adapt to every context to support the relevant actors and academics in urban agriculture.

show abstract

Section: Management 11mentioning

confidence: 99%

Section: Governance and Policy 67mentioning

confidence: 99%

Systemic Design for Food Self-Sufficiency in Urban Areas

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In [22], the authors predicted pest population dynamics using time series clustering and structural change detection of different pest species and groups. In [24], the authors provide optimal management solutions to efficiently identify nutrients and water; a multi-objective genetic algorithm was used to implement an E-Water system. Finally, in [19], [20] and [21] the authors presented interesting decision support systems for early warning, soil nutrient and financial services, respectively.…”

Section: Related Workmentioning

confidence: 99%

Crop Knowledge Discovery Based on Agricultural Big Data Integration

Ngo

Kechadi

2020

Proceedings of the 4th International Conference on Machine Learning and Soft Computing

View full text Add to dashboard Cite

Nowadays, the agricultural data can be generated through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, agricultural laboratories, farmers, government agencies and agribusinesses. The analysis of this big data enables farmers, companies and agronomists to extract high business and scientific knowledge, improving their operational processes and product quality. However, before analysing this data, different data sources need to be normalised, homogenised and integrated into a unified data representation. In this paper, we propose an agricultural data integration method using a constellation schema which is designed to be flexible enough to incorporate other datasets and big data models. We also apply some methods to extract knowledge with the view to improve crop yield; these include finding suitable quantities of soil properties, herbicides and insecticides for both increasing crop yield and protecting the environment.

show abstract

“…DSSs are currently gaining widespread use and practical application in many diverse fields of activity (where it is necessary to analyse alternative options, compare them and make an optimal choice) in solving problems of assessing the quality of organizational, design, engineering and managerial decisions (Uzdenova, 2010; Keenan and Jankowski, 2019), for example in telecommunications, banking, insurance, retail, medicine, industry, applied chemistry, molecular genetics and genetic engineering. In this aspect, agriculture is no exception (Borozenets and Tsysar, 2013; Udias et al, 2018). Thus, information and communication technologies have found application, in particular, in the field of agriculture (Chimonyo et al 2016; Graetskaya et al 2018), ecology (Pulsani, 2017; Anandhi et al 2018; Kazak and Świaçder, 2018), forestry management (Khanina et al 2009; Sakellariou et al, 2017; Kašpar et al, 2018; Kazak et al 2018) and water resources (Pulido‐Velazquez et al, 2016; Cavazza et al, 2018; Neilsen et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a decision support system at the stages of pre‐design studies and design of irrigation systems based on IDEFo functional modelling methodology^*

Vasilyev

Slabunov

Voevodin

et al. 2020

Irrigation and Drainage

View full text Add to dashboard Cite

The relevance of the subject matter derives from the need to select the most effective technical solution at the stages of pre-design studies and design of irrigation systems when performing innovative projects. The purpose of this study is to develop a decision support system (DSS) that would serve as an analytical and advisory tool for conducting complex research at the stages of pre-project preparation and design of irrigation systems. The leading approach underlying the solution of the subject matter is the functional modelling methodology integration definition for function modelling (IDEFo). This article presents the architecture of the software product, which shows the main subsystems of the DSS and reflects their interrelations. The implementation of the DSS in the form of a software product based on the provisions of the recommendations will automate the process of selecting alternatives (analogues) for elements of irrigation systems in specific conditions and provide information support for decision-making at the stages of pre-design studies and design, and also increase quality control and improve efficiency of managerial decision-making by 10-15% and reduce the total cost of organizing pre-design studies and designing irrigation systems by 3-5%. K E Y W O R D S decision support system (DSS), design, database, base of models, land improvement Résumé La pertinence du sujet découle de la nécessité de sélectionner la solution technique la plus efficace aux stades des études de préconception et de conception des systèmes d'irrigation lors de la réalisation de projets innovants. Le but de cette étude est de développer un système d'aide à la décision (DSS) qui servirait d'outil d'analyse et de conseil pour mener des recherches complexes aux stades de la préparation d'avant-projet et de la conception des systèmes d'irrigation. La principale approche sous-jacente à la solution du sujet est la définition d'intégration de la méthodologie de modélisation fonctionnelle pour la * Développement d'un système d'aide à la décision aux stades d'études de préconception et de conception de systèmes d'irrigation basés sur la méthodologie de modélisation fonctionnelle IDEFo.

show abstract

A decision support tool to enhance agricultural growth in the Mékrou river basin (West Africa)

Cited by 42 publications

References 32 publications

Systemic Design for Food Self-Sufficiency in Urban Areas

Systemic Design for Food Self-Sufficiency in Urban Areas

Crop Knowledge Discovery Based on Agricultural Big Data Integration

Development of a decision support system at the stages of pre‐design studies and design of irrigation systems based on IDEFo functional modelling methodology^*

Contact Info

Product

Resources

About

A decision support tool to enhance agricultural growth in the Mékrou river basin (West Africa)

Cited by 42 publications

References 32 publications

Systemic Design for Food Self-Sufficiency in Urban Areas

Systemic Design for Food Self-Sufficiency in Urban Areas

Crop Knowledge Discovery Based on Agricultural Big Data Integration

Development of a decision support system at the stages of pre‐design studies and design of irrigation systems based on IDEFo functional modelling methodology*

Contact Info

Product

Resources

About

Development of a decision support system at the stages of pre‐design studies and design of irrigation systems based on IDEFo functional modelling methodology^*