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Extract from the Register of European Patents

EP About this file: EP3620774

EP3620774 - METHOD AND APPARATUS FOR MONITORING PLANT HEALTH STATE [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  02.06.2023
Database last updated on 20.12.2024
FormerThe patent has been granted
Status updated on  24.06.2022
FormerGrant of patent is intended
Status updated on  22.05.2022
FormerRequest for examination was made
Status updated on  07.02.2020
FormerThe international publication has been made
Status updated on  22.02.2019
Most recent event   Tooltip27.09.2024Lapse of the patent in a contracting state
New state(s): MT
published on 30.10.2024  [2024/44]
Applicant(s)For all designated states
Guangzhou Xaircraft Technology Co., Ltd.
Bldg. C
115 Gaopu Rd.
Tianhe District
Guangzhou
Guangdong 510000 / CN
[2020/11]
Inventor(s)01 / LIU, Bo
Bldg. C
115 Gaopu Rd.
Tianhe District
Guangzhou Guangdong 510000 / CN
 [2020/11]
Representative(s)Perronace, Andrea, et al
Jacobacci & Partners S.p.A.
Via Tomacelli, 146
00186 Roma / IT
[2020/11]
Application number, filing date18846361.615.08.2018
[2020/11]
WO2018CN100606
Priority number, dateCN20171071187818.08.2017         Original published format: CN201710711878
[2020/11]
Filing languageZH
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2019034070
Date:21.02.2019
Language:ZH
[2019/08]
Type: A1 Application with search report 
No.:EP3620774
Date:11.03.2020
Language:EN
[2020/11]
Type: B1 Patent specification 
No.:EP3620774
Date:27.07.2022
Language:EN
[2022/30]
Search report(s)International search report - published on:CN21.02.2019
(Supplementary) European search report - dispatched on:EP14.12.2020
ClassificationIPC:G01N21/31, G01N21/84
[2022/23]
CPC:
G01N21/31 (EP); G01N21/84 (EP,CN,KR,US); G01N21/25 (CN,KR);
G06T7/001 (US); A01G7/00 (RU); A01G7/06 (US);
G01D21/02 (CN,KR); G01N21/17 (RU); G01N21/314 (US);
H04N23/69 (US); G01N2021/3155 (US); G01N2021/8466 (EP,CN,KR,US);
G01N2201/1296 (EP,US); G06T2207/20081 (US); G06T2207/20084 (US);
G06T2207/30188 (US) (-)
Former IPC [2021/02]G01N21/84, G01N21/31, A01B79/00
Former IPC [2020/11]G01N21/17
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2020/11]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:VERFAHREN UND VORRICHTUNG ZUR ÜBERWACHUNG DES GESUNDHEITSZUSTANDES EINER PFLANZE[2020/11]
English:METHOD AND APPARATUS FOR MONITORING PLANT HEALTH STATE[2020/11]
French:PROCÉDÉ ET APPAREIL DE SURVEILLANCE DE L'ÉTAT DE SANTÉ DE PLANTES[2020/11]
Entry into regional phase03.12.2019Translation filed 
03.12.2019National basic fee paid 
03.12.2019Search fee paid 
03.12.2019Designation fee(s) paid 
03.12.2019Examination fee paid 
Examination procedure03.12.2019Examination requested  [2020/11]
20.04.2021Amendment by applicant (claims and/or description)
23.05.2022Communication of intention to grant the patent
16.06.2022Fee for grant paid
16.06.2022Fee for publishing/printing paid
16.06.2022Receipt of the translation of the claim(s)
Opposition(s)02.05.2023No opposition filed within time limit [2023/27]
Fees paidRenewal fee
13.08.2020Renewal fee patent year 03
24.08.2021Renewal fee patent year 04
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Patent Court
See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipHU15.08.2018
AL27.07.2022
AT27.07.2022
BG27.07.2022
CY27.07.2022
CZ27.07.2022
DK27.07.2022
EE27.07.2022
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FI27.07.2022
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IE15.08.2022
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FR27.09.2022
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IS27.11.2022
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DE01.03.2023
[2024/44]
Former [2024/34]HU15.08.2018
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BE31.08.2022
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BE31.08.2022
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IE15.08.2022
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CH31.08.2022
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GR28.10.2022
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DE01.03.2023
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SM27.07.2022
IE15.08.2022
LU15.08.2022
CH31.08.2022
LI31.08.2022
FR27.09.2022
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GR28.10.2022
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DE01.03.2023
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Documents cited:Search[X]US2013113924  (MOON AE KYEUNG [KR], et al) [X] 1,11,15 * figure 7 * * paragraph [0081] - paragraph [0086] *;
 [XYI]WO2017077543  (AGROWING LTD [IL]) [X] 1,11-15 * page 3, line 27 - page 5, line 9 * * page 7, line 2 - page 19, line 25 * * page 20, line 20 - page 25, line 17 * * figure 11 * [Y] 2-5 [I] 6-10;
 [Y]  - BHANDARI SUBODH ET AL, "Towards collaboration between unmanned aerial and ground vehicles for precision agriculture", PROCEEDINGS OF SPIE; [PROCEEDINGS OF SPIE ISSN 0277-786X VOLUME 10524], SPIE, US, (20170508), vol. 10218, doi:10.1117/12.2262049, ISBN 978-1-5106-1533-5, pages 1021806 - 1021806, XP060089334 [Y] 2-5 * abstract * * sections 6 and 7 on pages 1021806-9 to 1021806-12 *

DOI:   http://dx.doi.org/10.1117/12.2262049
 [A]  - LU YANG ET AL, "Identification of rice diseases using deep convolutional neural networks", NEUROCOMPUTING, (20170701), vol. 267, doi:10.1016/J.NEUCOM.2017.06.023, ISSN 0925-2312, pages 378 - 384, XP085154086 [A] 1-15 * abstract *

DOI:   http://dx.doi.org/10.1016/j.neucom.2017.06.023
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