Non-destructive robotic sorting of cracked pistachio using deep learning
Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparat...
Ausführliche Beschreibung
Autor*in: |
Karadağ, Ahmet Emin [verfasserIn] Kılıç, Ali [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Postharvest biology and technology - Amsterdam [u.a.] : Elsevier Science, 1991, 198 |
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Übergeordnetes Werk: |
volume:198 |
DOI / URN: |
10.1016/j.postharvbio.2022.112229 |
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Katalog-ID: |
ELV009200185 |
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520 | |a Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. | ||
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700 | 1 | |a Kılıç, Ali |e verfasserin |4 aut | |
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10.1016/j.postharvbio.2022.112229 doi (DE-627)ELV009200185 (ELSEVIER)S0925-5214(22)00397-0 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid 58.34 bkl 48.59 bkl Karadağ, Ahmet Emin verfasserin aut Non-destructive robotic sorting of cracked pistachio using deep learning 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. Deep learning Object detection Robotic sorting system Kılıç, Ali verfasserin aut Enthalten in Postharvest biology and technology Amsterdam [u.a.] : Elsevier Science, 1991 198 Online-Ressource (DE-627)306590085 (DE-600)1498582-2 (DE-576)259484180 1873-2356 nnns volume:198 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ 48.59 Pflanzenproduktion: Sonstiges VZ AR 198 |
spelling |
10.1016/j.postharvbio.2022.112229 doi (DE-627)ELV009200185 (ELSEVIER)S0925-5214(22)00397-0 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid 58.34 bkl 48.59 bkl Karadağ, Ahmet Emin verfasserin aut Non-destructive robotic sorting of cracked pistachio using deep learning 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. Deep learning Object detection Robotic sorting system Kılıç, Ali verfasserin aut Enthalten in Postharvest biology and technology Amsterdam [u.a.] : Elsevier Science, 1991 198 Online-Ressource (DE-627)306590085 (DE-600)1498582-2 (DE-576)259484180 1873-2356 nnns volume:198 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ 48.59 Pflanzenproduktion: Sonstiges VZ AR 198 |
allfields_unstemmed |
10.1016/j.postharvbio.2022.112229 doi (DE-627)ELV009200185 (ELSEVIER)S0925-5214(22)00397-0 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid 58.34 bkl 48.59 bkl Karadağ, Ahmet Emin verfasserin aut Non-destructive robotic sorting of cracked pistachio using deep learning 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. Deep learning Object detection Robotic sorting system Kılıç, Ali verfasserin aut Enthalten in Postharvest biology and technology Amsterdam [u.a.] : Elsevier Science, 1991 198 Online-Ressource (DE-627)306590085 (DE-600)1498582-2 (DE-576)259484180 1873-2356 nnns volume:198 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ 48.59 Pflanzenproduktion: Sonstiges VZ AR 198 |
allfieldsGer |
10.1016/j.postharvbio.2022.112229 doi (DE-627)ELV009200185 (ELSEVIER)S0925-5214(22)00397-0 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid 58.34 bkl 48.59 bkl Karadağ, Ahmet Emin verfasserin aut Non-destructive robotic sorting of cracked pistachio using deep learning 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. Deep learning Object detection Robotic sorting system Kılıç, Ali verfasserin aut Enthalten in Postharvest biology and technology Amsterdam [u.a.] : Elsevier Science, 1991 198 Online-Ressource (DE-627)306590085 (DE-600)1498582-2 (DE-576)259484180 1873-2356 nnns volume:198 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ 48.59 Pflanzenproduktion: Sonstiges VZ AR 198 |
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10.1016/j.postharvbio.2022.112229 doi (DE-627)ELV009200185 (ELSEVIER)S0925-5214(22)00397-0 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid 58.34 bkl 48.59 bkl Karadağ, Ahmet Emin verfasserin aut Non-destructive robotic sorting of cracked pistachio using deep learning 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. Deep learning Object detection Robotic sorting system Kılıç, Ali verfasserin aut Enthalten in Postharvest biology and technology Amsterdam [u.a.] : Elsevier Science, 1991 198 Online-Ressource (DE-627)306590085 (DE-600)1498582-2 (DE-576)259484180 1873-2356 nnns volume:198 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ 48.59 Pflanzenproduktion: Sonstiges VZ AR 198 |
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Karadağ, Ahmet Emin |
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Karadağ, Ahmet Emin ddc 570 fid BIODIV bkl 58.34 bkl 48.59 misc Deep learning misc Object detection misc Robotic sorting system Non-destructive robotic sorting of cracked pistachio using deep learning |
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570 630 VZ BIODIV DE-30 fid 58.34 bkl 48.59 bkl Non-destructive robotic sorting of cracked pistachio using deep learning Deep learning Object detection Robotic sorting system |
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Non-destructive robotic sorting of cracked pistachio using deep learning |
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Non-destructive robotic sorting of cracked pistachio using deep learning |
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Karadağ, Ahmet Emin |
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non-destructive robotic sorting of cracked pistachio using deep learning |
title_auth |
Non-destructive robotic sorting of cracked pistachio using deep learning |
abstract |
Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. |
abstractGer |
Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. |
abstract_unstemmed |
Pistachio, an agricultural product, is considered one of the guilt-free snacks due to its nutritional content, taste, and its health benefits. Usually, when it is consumed as a snack, in-shell pistachios are more desirable, whereas pistachios without their shell are ordinarily used for food preparation. One parameter important for pistachios sold as a snack is whether their shell is open. In pistachio processing plants, closed-shelled pistachios are separated with manual labor. There also exists an automated method called pin-picker machines, but as these machines harm pistachio kernels, they are undesirable. This paper offers a method to separate open-shelled pistachios from closed-shelled pistachios in an unharmful method. This method is done by using a deep learning-based object detection algorithm. In order to sort pistachios physically, a gripper and a conveyor system equipped Cartesian manipulator has been developed. In addition, a double-camera configuration is used. The key function of a double-camera configuration is to see the one-sided split on pistachios, which is hard to achieve with a single-camera configuration. Firstly, the object detection algorithm detects pistachios and gives their position with bounding boxes. Then their real-world coordinates are calculated, pistachios in both images taken with the cameras are paired, and the Cartesian manipulator separates pistachios. The detection accuracy was found as 98 % and 85 % for open-shelled pistachio and closed-shelled pistachio, respectively. With this method, closed-shelled pistachios can be sent to a cracking machine, or they can be sent to be stored for later use as they can withstand environmental effects better than open-shelled pistachios. |
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