Accurate detection method and system for dense plums picked by robot
The invention discloses a method and a system for accurately detecting dense plums picked by a robot. The method comprises the following steps: acquiring images of fruits in an orchard through image acquisition equipment; performing inspection processing to obtain a target detection image meeting re...
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| creator | CHANG KUN ZHAO YINGJIE WANG CONGYUE LIU SHENGBO WANG LELE LAN YUBIN XIONG ZHANGJUN |
| description | The invention discloses a method and a system for accurately detecting dense plums picked by a robot. The method comprises the following steps: acquiring images of fruits in an orchard through image acquisition equipment; performing inspection processing to obtain a target detection image meeting requirements; performing data annotation of fruits with different maturity degrees on the target detection image to obtain an annotated image; dividing the marked image into a training set and a test set according to a proportion, and obtaining the number of mature proportion fruits in the training set; judging whether data balance processing is needed or not according to the fruit ripening proportion in the training set; performing data enhancement processing on the balance training set data; improving the target detection model; training and predicting the data enhancement training set by improving the target detection model to obtain a detection result; according to the invention, the deep learning model is applie |
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The method comprises the following steps: acquiring images of fruits in an orchard through image acquisition equipment; performing inspection processing to obtain a target detection image meeting requirements; performing data annotation of fruits with different maturity degrees on the target detection image to obtain an annotated image; dividing the marked image into a training set and a test set according to a proportion, and obtaining the number of mature proportion fruits in the training set; judging whether data balance processing is needed or not according to the fruit ripening proportion in the training set; performing data enhancement processing on the balance training set data; improving the target detection model; training and predicting the data enhancement training set by improving the target detection model to obtain a detection result; according to the invention, the deep learning model is applie</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220422&DB=EPODOC&CC=CN&NR=114387520A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220422&DB=EPODOC&CC=CN&NR=114387520A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHANG KUN</creatorcontrib><creatorcontrib>ZHAO YINGJIE</creatorcontrib><creatorcontrib>WANG CONGYUE</creatorcontrib><creatorcontrib>LIU SHENGBO</creatorcontrib><creatorcontrib>WANG LELE</creatorcontrib><creatorcontrib>LAN YUBIN</creatorcontrib><creatorcontrib>XIONG ZHANGJUN</creatorcontrib><title>Accurate detection method and system for dense plums picked by robot</title><description>The invention discloses a method and a system for accurately detecting dense plums picked by a robot. 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The method comprises the following steps: acquiring images of fruits in an orchard through image acquisition equipment; performing inspection processing to obtain a target detection image meeting requirements; performing data annotation of fruits with different maturity degrees on the target detection image to obtain an annotated image; dividing the marked image into a training set and a test set according to a proportion, and obtaining the number of mature proportion fruits in the training set; judging whether data balance processing is needed or not according to the fruit ripening proportion in the training set; performing data enhancement processing on the balance training set data; improving the target detection model; training and predicting the data enhancement training set by improving the target detection model to obtain a detection result; according to the invention, the deep learning model is applie</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Accurate detection method and system for dense plums picked by robot |
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