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公开(公告)号：US20230136427A1
公开(公告)日：2023-05-04
申请号：US17720841
申请日：2022-04-14
发明人： Yu TANG , Yiqing FU , Jiahao LI , Jiepeng YANG , Jinfei ZHAO , Weizhao CHEN , Xiaodi ZHANG , Zhiping TAN , Qiwei GUO , Xincai ZHUANG , Huasheng HUANG , Chaojun HOU , Jiajun ZHUANG , Aimin MIAO , Shaoming LUO
摘要： Disclosed is a fruit picking method based on a visual servo control robot, comprising: placing a throwing apparatus and a fixed photosensitive device at a first position to obtain a fixed photosensitive image; generating a first throwing path, a second throwing path, and a third throwing path; arranging recovery apparatuses; performing simultaneous rotational throwing processing to throw a first wireless photosensitive device, a second wireless photosensitive device, and a third wireless photosensitive device; receiving a first photosensitive image sequence and a second photosensitive image sequence of the first wireless photosensitive device and the second wireless photosensitive device; receiving a third photosensitive image sequence of the third wireless photosensitive device; generating a spatial position of a fruit on a to-be-picked fruit tree; and performing fruit picking processing using the visual servo control robot according to the spatial position of the fruit.
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2.发明申请公开(公告)号：US20230133055A1
公开(公告)日：2023-05-04
申请号：US17710918
申请日：2022-03-31
发明人： Yu TANG , Shaoming LUO , Jiepeng YANG , Yiqing FU , Jinfei ZHAO , Jiahao LI , Zhiping TAN , Huasheng HUANG , Qiwei GUO , Weizhao CHEN
IPC分类号： G06T7/00
摘要： Disclosed is a method for detecting an infection stage of anthracnose pathogen with pre-analysis capacity, comprising: obtaining a plurality of sample sensing data sequences; obtaining a sample citrus leaf image; obtaining a first prediction result; if the first prediction result is that the sample citrus crop is not infected by anthracnose, obtaining sample Raman spectral data and sample hyperspectral data; obtaining a first judgment result, and obtaining a second judgment result; performing labeling to obtain second training data; training a neural network model to obtain a second anthracnose prediction model; obtaining a plurality of to-be-analyzed sensing data sequences; obtaining a to-be-analyzed citrus leaf image; obtaining a second prediction result; if the second prediction result is that the to-be-analyzed citrus crop is not infected by anthracnose, obtaining a third prediction result.
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公开(公告)号：US20230132580A1
公开(公告)日：2023-05-04
申请号：US17710938
申请日：2022-03-31
发明人： Yu TANG , Yiqing FU , Jiahao LI , Jiepeng YANG , Jinfei ZHAO , Weizhao CHEN , Xiaodi ZHANG , Zhiping TAN , Qiwei GUO , Xincai ZHUANG , Huasheng HUANG , Chaojun HOU , Jiajun ZHUANG , Aimin MIAO , Shaoming LUO
摘要： Disclosed is a fruit picking method based on a visual servo control robot, comprising: placing a throwing apparatus and a fixed photosensitive device at a first position to obtain a fixed photosensitive image; generating a first throwing path, a second throwing path, and a third throwing path; arranging recovery apparatuses; performing simultaneous rotational throwing processing to throw a first wireless photosensitive device, a second wireless photosensitive device, and a third wireless photosensitive device; receiving a first photosensitive image sequence and a second photosensitive image sequence of the first wireless photosensitive device and the second wireless photosensitive device; receiving a third photosensitive image sequence of the third wireless photosensitive device; generating a spatial position of a fruit on a to-be-picked fruit tree; and performing fruit picking processing using the visual servo control robot according to the spatial position of the fruit.
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公开(公告)号：US20220377980A1
公开(公告)日：2022-12-01
申请号：US17744053
申请日：2022-05-13
发明人： Yu TANG , Shaoming LUO , Weizhao CHEN , Jiahao LI , Jiepeng YANG , Yiqing FU , Jinfei ZHAO , Xiaodi ZHANG , Qiwei GUO , Xincai ZHUANG , Huasheng HUANG , Chaojun HOU , Jiajun ZHUANG , Aimin MIAO
摘要： The application discloses a fruit picking method based on a three-dimensional parameter prediction model for a fruit. The method comprises: performing first-time image acquisition processing on a to-be-picked fruit to obtain a first image; determining a first range; controlling a manipulator to perform first-time moving processing; performing intermittent gas injection treatment to lead to forced vibration of the to-be-picked fruit; performing second-time image acquisition processing many times to obtain a plurality of second images; screening out, by taking the first image as an reference object, two appointed second images deviating from an equilibrium position to the maximum extent; jointly inputting the images into a preset three-dimensional parameter prediction model for the fruit so as to obtain predicted three-dimensional parameters; controlling the manipulator to perform second-time moving processing; and performing cutting processing on a fruit stem position to make the to-be-picked fruit fall onto the manipulator.
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公开(公告)号：US20190285096A1
公开(公告)日：2019-09-19
申请号：US16435211
申请日：2019-06-07
发明人： Yong YANG , Xiayun LIU , Shunqi YANG , Jun YANG , Shaoming LUO
IPC分类号： F15B15/14
摘要： A dust-proof and heat-control device for hydraulic cylinder is provided, including: a fixing sleeve, an annular fan mechanism, a sealing end cap and a dust cover; wherein the fixing sleeve is sleeved on a cylinder barrel of the hydraulic cylinder, the annular fan mechanism is sleeved on the fixing sleeve, the sealing end cap is disposed on an end of the cylinder barrel, a piston rod of the hydraulic cylinder passes through the sealing end cap and the dust cover, the dust cover is fixed on the piston rod, the annular fan mechanism, the dust cover and the hydraulic cylinder enclose an inner space, a side wall of the dust cover is provided with an opening communicating with the inner space, and a filter screen is mounted at the opening. The device and method can achieve good dust proof and heat control effect on axially reciprocating telescopic hydraulic cylinder.
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公开(公告)号：US20220383610A1
公开(公告)日：2022-12-01
申请号：US17742701
申请日：2022-05-12
发明人： Yu TANG , Shaoming LUO , Weizhao CHEN , Jiahao LI , Jiepeng YANG , Yiqing FU , Jinfei ZHAO , Xiaodi ZHANG , Qiwei GUO , Xincai ZHUANG , Huasheng HUANG , Chaojun HOU , Jiajun ZHUANG , Aimin MIAO
摘要： A citrus identification method comprises: performing first-time image acquisition processing on a target citrus tree to obtain a first image; inputting the first image into a first citrus fruit identification model to be processed to obtain a first identification result sequence; performing area interception processing on the first image to obtain a citrus fruit area; obtaining roundness integrity numerical values; selecting an appointed roundness integrity numerical value, and acquiring a defect position of an appointed citrus fruit in the first image; determining a first spatial range and a second spatial range; performing both first spray injection treatment and second spray injection treatment; performing second-time image acquisition processing to obtain a second image; inputting the second image into a second citrus fruit identification model to be processed to obtain a second identification result; and generating a citrus fruit identification result.
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