Fuzzy Logic for Biological and Agricultural Systems

Center, Brian C.; Verma, B. P.

doi:10.1007/978-94-011-5048-4_11

Cited by 19 publications

(17 citation statements)

References 42 publications

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“…The expert is asked to summarize knowledge about the system in the form of a cause and effect relationship. From these the rules are formulated (Center and Verma 1998). Yoshinari et al (1996) discuss another method of fuzzy rule determination based on fuzzy classifier techniques.…”

Section: If X Is a And Y Is B Then F Is C: ð4þmentioning

confidence: 99%

Fuzzy logic to classify date palm trees based on some physical properties related to precision agriculture

2009

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Precision agriculture can be cost effective for date palm groves because the tree positions are known and fixed, the groves are mostly structured and many of agricultural operations are applied manually. Therefore, the new technology tools of precision agriculture are not essential. This study was done to improve date palm yield using maps of the variation in tree properties. Data on five Mozafati tree properties, such as sex, age, yield, visual appearance and fruit length were measured and recorded for each tree in five groves near the city of Bam in Iran. Tree positions were defined and the above properties were mapped. It was difficult to judge patterns in the variation because of tree to tree variability. Therefore, the Mamdani fuzzy inference system (MFIS) was used to classify the productive trees based on yield, fruit length and visual appearance, and to produce a tree total quality map (TTQM) for each grove. Based on the TTQM the trees were graded as excellent, good, medium, poor and very poor. The trees were also graded by the date growers who were experts. The evaluation for all groves by MFIS showed 87% general agreement with the results from the human expert indicating that it is a feasible method for classifying date palms based on quality. The results indicted that there are young and old trees in these groves that need different treatments, such as the amount of fertilizer required. Some date growers have low incomes, therefore, the overall TTQM is suitable for them because they can identify which trees have the greatest needs and apply limited resources to only those. This case study illustrates the use of computer and mathematical software to enhance date palm production and reduce the costs.

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Section: If X Is a And Y Is B Then F Is C: ð4þmentioning

confidence: 99%

Fuzzy logic to classify date palm trees based on some physical properties related to precision agriculture

2009

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“…There are several different types of fuzzy logic based inference systems 3,4,12 and they have been applied in virtually all branches of applied science under slightly different names. Relevant reviews on fuzzy logic can be found in the literature 2,11 . As the fuzzy system built in this 1 Food Technology, Department of Dairy and Food Science, The Royal Veterinary and Agricultural University, Rolighedsvej 30, DK-1958 Frederiksberg C. 2 Carlsberg Research Laboratory, Gamle Carlsbergvej 10, DK-2500…”

Section: -2863(9'8-32mentioning

confidence: 99%

“…Relevant reviews on fuzzy logic can be found in the literature 2,11 . As the fuzzy system built in this 1 Food Technology, Department of Dairy and Food Science, The Royal Veterinary and Agricultural University, Rolighedsvej 30, DK-1958 Frederiksberg C. 2 Carlsberg Research Laboratory, Gamle Carlsbergvej 10, DK-2500…”

Section: -2863(9'8-32mentioning

confidence: 99%

Application of Fuzzy Logic and Near Infrared Spectroscopy for Malt Quality Evaluation

Nielsen

Bro

Larsen

et al. 2002

Journal of the Institute of Brewing

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An increasing number of quality criteria are involved in the evaluation of the final malt. This implies a comprehensive quality evaluation, normally based on experience and prior knowledge by the maltster/ brewer/ breeder. This paper describes the principle in, and use of, fuzzy logic for the translation of a complex malt quality profile into a simple univariate overall quality index (OQI). The approach was tested on a data set of 50 malt samples including eleven quality parameters according to the European Brewery Convention.The presented fuzzy logic approach involves three steps: i) an appropriate definition of how good a certain quality parameter level is, ii) a sound way to combine several quality parameters and iii) a way to express the overall quality based on all these individual parameters, taking their individual relative importance into account. The fuzzy logic based OQI presented here turned out to be a sound index for the overall quality of the tested malt samples, and thus provides a way of reducing and automating the quality data evaluation.It is furthermore shown that near infrared transmittance spectra of the malt samples showed reasonable ability to predict the calculated OQI. Hereby, both analysis and evaluation efforts in malting barley breeding can be reduced considerably.

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“…Fuzzy logic provides an effective decision-making tool for dealing with this kind of imprecision and uncertainty (Groenemans et al, 1997;McBratney and Odeh, 1997;Center and Verma, 1998;Kuo and Xue, 1998;Evsukoff et al, 2000;Geneste et al, 2003). First proposed by Zadeh in his Theory of Fuzzy Subsets (Zadeh, 1965), fuzzy logic works with rough data and linguistic values of variable and imprecise relationships to find the best solution or alternatives to complex problems (Panigrahi, 1998), such as those in agricultural systems.…”

Section: Introductionmentioning

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.

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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...

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Fuzzy Logic for Biological and Agricultural Systems

Cited by 19 publications

References 42 publications

Fuzzy logic to classify date palm trees based on some physical properties related to precision agriculture

Fuzzy logic to classify date palm trees based on some physical properties related to precision agriculture

Application of Fuzzy Logic and Near Infrared Spectroscopy for Malt Quality Evaluation

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

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