TIM: Assessing the sustainability of agricultural land management

Smith, C. S.; McDonald, Geoff; Thwaites, R. N.

doi:10.1006/jema.2000.0384

Cited by 28 publications

(23 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to identify the best water management practices, it is necessary to establish the water hazard-water/land use practice relationship (Ochola et al, 2002b;Smith et al, 2000). This relationship can be mapped within the DSS and can be related to benign land use practices.…”

Section: Resultsmentioning

confidence: 99%

“…Water resources hazards can be categorized according to origin and point of effect (Ochola et al, 2002b;Smith et al, 2000). In the current application, several hazards were identified during consultative meetings with farmers and water/land use extension experts including those shown in Table I. For purposes of brevity, only four hazards have been presented here with the application of the new spatial water hazard assessment decision support system.…”

Section: Water Hazards and Practices Selectionmentioning

confidence: 99%

See 1 more Smart Citation

Water resources hazard management system: spatial extension for the assessment of sustainable water use practices in Kenya

Ochola

Kerkides

Argyrokastritis

et al. 2004

Irrigation and Drainage

View full text Add to dashboard Cite

Water resources attributes can be parameterized into water quality indicators that also describe the impact of agriculture on the biophysical and socio-economic processes in the environment. This article is a sequel to a previous paper published by the authors that presented a water resources hazard assessment decision support system (DSS). The geographical information system (GIS) functionality of the original DSS has been advanced for mapping, spatial and geostatistical analysis of water resources hazards, water use/management practice classification and best water management practice identification. The interactive mapping potential enables the users to broaden water resource management and investigate spatial and temporal trends in water hazard status. The output includes a host of thematic maps and water use matrices. The improvement of the DSS by integration of GIS has enhanced its ability to support land and water use decision-making at farm and catchment levels by not only setting best water use guidelines but also suggesting where they are most appropriate. The improved version of the DSS has been recalibrated, tested and applied to land and water use data from the Kusa area in Kenya. The system assists land and water use planning through the evaluation of sustainability of water resources, identifying environmental issues concerning future water use sites and defining the conditions for use of present water resources. It can be used to evaluate hazards and environmental threats to other agricultural land resources. The current paper presents a documentation of the water hazard management system and a description of its application to be a requisite of water hazards in the study area. Copyright # 2004 John Wiley & Sons, Ltd. key words: water hazard management; Kenya; Kusa; geographical information system; spatial decision support system; water management practices RÉ SUMÉ Les attributs des ressources hydriques peuvent être paramétrés par des indicateurs de qualité d'eau, qui décrivent également l'impact de l'agriculture sur les processus biophysiques et socio-économiques dans l'environnement. Cet article est la suite d'un article publié par les auteurs, qui présentait un système d'aide à la décision (SAD) pour l'évaluation des risques liés aux ressources en eau. La fonctionnalité du système d'information géographique (SIG) du SAD original a été améliorée afin de permettre la cartographie, l'analyse spatiale et geostatistique des risques, et l'identification et la classification des méthodes de gestion des ressources hydriques. La cartographie interactive permet aux utilisateurs d'élargir la gestion de ressources en eau et d'étudier les tendances spatiales et

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Water Hazards and Practices Selectionmentioning

confidence: 99%

Water resources hazard management system: spatial extension for the assessment of sustainable water use practices in Kenya

Ochola

Kerkides

Argyrokastritis

et al. 2004

Irrigation and Drainage

View full text Add to dashboard Cite

show abstract

“…Therefore, Smith et al (2000) inverse the approach and look at features of a system that are unsustainable, rather than searching for those that are sustainable. In their threat identification model (TIM), they first identify and rate potential hazards to sustainability depending on location-specific conditions, in particular, considering soil conditions and the risks of identified hazards.…”

Section: Evaluating Technologies For Sustainable Agriculturementioning

confidence: 99%

Assessing the Sustainability of Agricultural Technology Options for Poor Rural Farmers

Kriesemer

Virchow

Weinberger

2016

Technological and Institutional Innovations for Marginalized Smallholders in Agricultural Development

View full text Add to dashboard Cite

This chapter presents an analytic framework to identify agricultural innovations that are sustainable and suitable for the poorest and most vulnerable parts of the population. The framework contains a set of tools to collect and evaluate information on appropriate innovations based on relevant criteria. It considers the dimensions of environmental resilience, economic viability, and social sustainability, as well as technical sustainability considering important properties of the innovation itself. Information on already available agricultural innovations was collected in ten countries in South and Southeast Asia, as well as from the national and international agricultural research communities. A composite sustainability indicator was constructed to compare the collected innovations and radar charts were computed to visualize their performance in each sustainability criterion.

show abstract

“…Its usefulness in land-use planning is greatest and allows model outputs, such as constraints on agriculture and site-specif ic best-management practices, to be identified in a spatially explicit manner (Smith et al, 2000).…”

Section: Premises For the Development Of The Idssmentioning

confidence: 99%

Building a fuzzy logic information network and a decision-support system for olive cultivation in Andalusia [Spain]

Delgado

Aranda

Calero

et al. 2008

Span. j. agric. res.

View full text Add to dashboard Cite

In Southern Spain, olive (Olea europaea L.) growing is an important part of the economy, especially in the provinces of Jaén, Córdoba and Granada. This work proposes the first stages of an Information and Decision-Support System (IDSS) for providing different types of users (farmers, agricultural engineers, public services, etc.) with information on olive growing and the environment, and also assisting in decision-making. The main purposes of the project reported in this paper are to process uncertain or imprecise data, such as those concerning the environment or crops, and combine user data with other scientific-experimental data. The possibility of storing agricultural and ecological information in fuzzy relational databases, vital to the development of an IDSS is described. The information will be processed using knowledge extraction tools (fuzzy data-mining) that will allow rules on expert knowledge for assessing suitability of land to be developed and making thematic maps with the aid of Geographic Information Systems. Flexible querying will allow the users to collect information interactively from databases, while user information is constantly added. Flexible querying of databases, land suitability and thematic maps may be used to help in decisionmaking.Additional key words: expert systems, flexible querying, fuzzy data-mining, fuzzy relational databases, knowledge extraction, user knowledge. ResumenConstrucción de un sistema de información y de ayuda a la decisión mediante lógica difusa para el cultivo del olivar en Andalucía El cultivo del olivo (Olea europaea L.) tiene una enorme importancia económica en la zona sur de España y concretamente en las provincias de Jaén, Córdoba y Granada. En este trabajo se propone la construcción de un sistema de información y ayuda a la toma de decisión (IDSS) que permita en el futuro a distintos tipos de usuarios (agricultores, agrónomos, administraciones públicas, etc.) obtener y manejar información sobre el cultivo de olivar y el soporte ambiental del mismo, así como ayudar en la toma de decisiones. Los principales objetivos desarrollados en este trabajo son el tratamiento de datos inciertos e imprecisos, como es el caso de la información ambiental y sobre cultivos, y la fusión de datos sobre cultivo y otros de carácter científico-experimental. Se describe la posibilidad de almacenar la información de carácter agronómico y ecológico en bases de datos relacionales, que es vital para el desarrollo de un IDSS. La información será procesada a través de herramientas de extracción de conocimiento (minería de datos difusa) y permitirá sobre la base del conocimiento experto el desarrollo de reglas para la clasificación de aptitud del terreno y para la obtención de mapas temáticos con la ayuda de Sistemas de Información Geográfica. La consulta flexible permitirá a los distintos usuarios la consulta interactiva de toda la información almacenada en las bases de datos, así como una implementación constante de las mismas. La consulta flexible de bases de datos, la idonei...

show abstract

TIM: Assessing the sustainability of agricultural land management

Cited by 28 publications

References 4 publications

Water resources hazard management system: spatial extension for the assessment of sustainable water use practices in Kenya

Water resources hazard management system: spatial extension for the assessment of sustainable water use practices in Kenya

Assessing the Sustainability of Agricultural Technology Options for Poor Rural Farmers

Building a fuzzy logic information network and a decision-support system for olive cultivation in Andalusia [Spain]

Contact Info

Product

Resources

About