The Experts below are selected from a list of 51732 Experts worldwide ranked by ideXlab platform
Ales Belsak - One of the best experts on this subject based on the ideXlab platform.
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intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards
International Journal of Agricultural and Biological Engineering, 2019Co-Authors: P Berk, Ales Belsak, Denis Stajnko, M Lakota, Marko Hočevar, N. Muskinja, J RakunAbstract:The spraying of plant protection product (PPP) in orchards is a very hazardous working procedure, owing to the spray drift caused by the uneven operation of conventional axial boom sprayers. This research describes an intelligent automated System for precise (PPP) distribution in real-time. It is based on an intelligent decision-making model using ultrasonic measurements of leaf area density under laboratory conditions, which serve to trigger electromagnetic valves (EMV) on the axial boom sprayer. A Fuzzy Logic algorithm was an integrated part of the intelligent System for controlling the PPP by generating the pulse width modulation signal and applying it through the EMV of the prototype boom sprayer. The results showed that by using an intelligent decision-making model, the same efficiency as with conventional methods could be achieved, but with reduced usage of plant protection products. Thus, the intelligent automated System used 4.8 times less spray mixture than the conventional one. Keywords: plant protection product, boom sprayer, electromagnetic valve, Fuzzy Logic algorithm, tree canopy DOI: 10.25165/j.ijabe.20191203.4476 Citation: Berk P, Belsak A, Stajnko D, Lakota M, Muskinja N, Hocevar M, et al. Intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards. Int J Agric & Biol Eng, 2019; 12(3): 92–102.
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plant protection product dose rate estimation in apple orchards using a Fuzzy Logic System
PLOS ONE, 2019Co-Authors: P Berk, Denis Stajnko, Ales Malnersic, Viktor Jejcic, Marko Hočevar, Ales BelsakAbstract:: In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous System is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous System is based on a Fuzzy Logic System (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a Fuzzy Logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenoLogical growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future.
Janusz T Starczewski - One of the best experts on this subject based on the ideXlab platform.
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a triangular type 2 Fuzzy Logic System
IEEE International Conference on Fuzzy Systems, 2006Co-Authors: Janusz T StarczewskiAbstract:So far, computational complexity of non-interval type-2 Fuzzy Logic Systems (FLS) has not allowed to make an engineering use of them. This paper provides a new method for complexity reduction to operations on triangular type-2 Fuzzy sets. The method for the algebraic product case is validated with the use of an original theorem for calculating extended continuous t-norms for arguments characterized by normal and upper semicontinuous membership functions (MF). A new approximate type-reduction method similar to the Karnik type-2 FLS and its neuro-Fuzzy structure is developed. The use of triangular uncertainties in FLS is justified by the example.
P Berk - One of the best experts on this subject based on the ideXlab platform.
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intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards
International Journal of Agricultural and Biological Engineering, 2019Co-Authors: P Berk, Ales Belsak, Denis Stajnko, M Lakota, Marko Hočevar, N. Muskinja, J RakunAbstract:The spraying of plant protection product (PPP) in orchards is a very hazardous working procedure, owing to the spray drift caused by the uneven operation of conventional axial boom sprayers. This research describes an intelligent automated System for precise (PPP) distribution in real-time. It is based on an intelligent decision-making model using ultrasonic measurements of leaf area density under laboratory conditions, which serve to trigger electromagnetic valves (EMV) on the axial boom sprayer. A Fuzzy Logic algorithm was an integrated part of the intelligent System for controlling the PPP by generating the pulse width modulation signal and applying it through the EMV of the prototype boom sprayer. The results showed that by using an intelligent decision-making model, the same efficiency as with conventional methods could be achieved, but with reduced usage of plant protection products. Thus, the intelligent automated System used 4.8 times less spray mixture than the conventional one. Keywords: plant protection product, boom sprayer, electromagnetic valve, Fuzzy Logic algorithm, tree canopy DOI: 10.25165/j.ijabe.20191203.4476 Citation: Berk P, Belsak A, Stajnko D, Lakota M, Muskinja N, Hocevar M, et al. Intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards. Int J Agric & Biol Eng, 2019; 12(3): 92–102.
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plant protection product dose rate estimation in apple orchards using a Fuzzy Logic System
PLOS ONE, 2019Co-Authors: P Berk, Denis Stajnko, Ales Malnersic, Viktor Jejcic, Marko Hočevar, Ales BelsakAbstract:: In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous System is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous System is based on a Fuzzy Logic System (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a Fuzzy Logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenoLogical growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future.
Denis Stajnko - One of the best experts on this subject based on the ideXlab platform.
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intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards
International Journal of Agricultural and Biological Engineering, 2019Co-Authors: P Berk, Ales Belsak, Denis Stajnko, M Lakota, Marko Hočevar, N. Muskinja, J RakunAbstract:The spraying of plant protection product (PPP) in orchards is a very hazardous working procedure, owing to the spray drift caused by the uneven operation of conventional axial boom sprayers. This research describes an intelligent automated System for precise (PPP) distribution in real-time. It is based on an intelligent decision-making model using ultrasonic measurements of leaf area density under laboratory conditions, which serve to trigger electromagnetic valves (EMV) on the axial boom sprayer. A Fuzzy Logic algorithm was an integrated part of the intelligent System for controlling the PPP by generating the pulse width modulation signal and applying it through the EMV of the prototype boom sprayer. The results showed that by using an intelligent decision-making model, the same efficiency as with conventional methods could be achieved, but with reduced usage of plant protection products. Thus, the intelligent automated System used 4.8 times less spray mixture than the conventional one. Keywords: plant protection product, boom sprayer, electromagnetic valve, Fuzzy Logic algorithm, tree canopy DOI: 10.25165/j.ijabe.20191203.4476 Citation: Berk P, Belsak A, Stajnko D, Lakota M, Muskinja N, Hocevar M, et al. Intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards. Int J Agric & Biol Eng, 2019; 12(3): 92–102.
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plant protection product dose rate estimation in apple orchards using a Fuzzy Logic System
PLOS ONE, 2019Co-Authors: P Berk, Denis Stajnko, Ales Malnersic, Viktor Jejcic, Marko Hočevar, Ales BelsakAbstract:: In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous System is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous System is based on a Fuzzy Logic System (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a Fuzzy Logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenoLogical growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future.
Marko Hočevar - One of the best experts on this subject based on the ideXlab platform.
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intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards
International Journal of Agricultural and Biological Engineering, 2019Co-Authors: P Berk, Ales Belsak, Denis Stajnko, M Lakota, Marko Hočevar, N. Muskinja, J RakunAbstract:The spraying of plant protection product (PPP) in orchards is a very hazardous working procedure, owing to the spray drift caused by the uneven operation of conventional axial boom sprayers. This research describes an intelligent automated System for precise (PPP) distribution in real-time. It is based on an intelligent decision-making model using ultrasonic measurements of leaf area density under laboratory conditions, which serve to trigger electromagnetic valves (EMV) on the axial boom sprayer. A Fuzzy Logic algorithm was an integrated part of the intelligent System for controlling the PPP by generating the pulse width modulation signal and applying it through the EMV of the prototype boom sprayer. The results showed that by using an intelligent decision-making model, the same efficiency as with conventional methods could be achieved, but with reduced usage of plant protection products. Thus, the intelligent automated System used 4.8 times less spray mixture than the conventional one. Keywords: plant protection product, boom sprayer, electromagnetic valve, Fuzzy Logic algorithm, tree canopy DOI: 10.25165/j.ijabe.20191203.4476 Citation: Berk P, Belsak A, Stajnko D, Lakota M, Muskinja N, Hocevar M, et al. Intelligent automated System based on a Fuzzy Logic System for plant protection product control in orchards. Int J Agric & Biol Eng, 2019; 12(3): 92–102.
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plant protection product dose rate estimation in apple orchards using a Fuzzy Logic System
PLOS ONE, 2019Co-Authors: P Berk, Denis Stajnko, Ales Malnersic, Viktor Jejcic, Marko Hočevar, Ales BelsakAbstract:: In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous System is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous System is based on a Fuzzy Logic System (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a Fuzzy Logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenoLogical growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future.
