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Extract from the Register of European Patents

EP About this file: EP3357332

EP3357332 - AGRICULTURAL SPRAYER [Right-click to bookmark this link]
Former [2018/32]WEED CONTROL SYSTEMS AND METHODS, AGRICULTURAL SPRAYER
[2021/44]
StatusNo opposition filed within time limit
Status updated on  17.02.2023
Database last updated on 21.05.2024
FormerThe patent has been granted
Status updated on  11.03.2022
FormerGrant of patent is intended
Status updated on  09.11.2021
FormerExamination is in progress
Status updated on  18.12.2020
FormerRequest for examination was made
Status updated on  08.02.2019
FormerThe application has been published
Status updated on  06.07.2018
Most recent event   Tooltip29.09.2023Lapse of the patent in a contracting state
New state(s): MC		published on 01.11.2023  [2023/44]
Applicant(s)For all designated states
BILBERRY SAS
44 avenue Raspail
94250 Gentilly / FR
[2022/15]
Former [2018/32]For all designated states
BILBERRY SAS
86, rue de Paris
91400 Orsay / FR
Inventor(s)01 / SERRAT, Hugo
1 Parc de Béarn
92210 Saint-Cloud / FR
02 / BEGUERIE, Jules
44 rue Toulouse-Lautrec
91300 Massy / FR
03 / JOURDAIN, Guillaume
22 rue du Lavoir de la Grande Pierre
92160 Antony / FR
 [2018/32]
Representative(s)Le Forestier, Eric
LE FORESTIER CONSEIL
22, rue du Plateau Saint-Antoine
78150 Le Chesnay / FR
[2018/32]
Application number, filing date17305131.906.02.2017
[2018/32]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3357332
Date:08.08.2018
Language:EN
[2018/32]
Type: B1 Patent specification 
No.:EP3357332
Date:13.04.2022
Language:EN
[2022/15]
Search report(s)(Supplementary) European search report - dispatched on:EP27.07.2017
ClassificationIPC:A01M7/00, A01M21/04
[2021/44]
CPC:
A01M7/0089 (EP,US); A01M21/043 (EP); B05B12/12 (US);
G06F18/214 (US); G06F18/2413 (US); G06T7/70 (US);
G06V10/955 (US); G06V20/56 (US); H04N23/54 (US);
G06T2207/20056 (US); G06T2207/20076 (US); G06T2207/20081 (US);
G06T2207/30188 (US); G06T2207/30252 (US); G06V20/188 (US) (-)
Former IPC [2018/32]A01M7/00
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 [2019/11]
Former [2018/32]AL,  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 
TitleGerman:FELDSPRITZE[2021/44]
English:AGRICULTURAL SPRAYER[2021/44]
French:PULVÉRISATEUR AGRICOLE[2021/44]
Former [2018/32]UNKRAUTBEKÄMPFUNGSSYSTEME UND VERFAHREN, FELDSPRITZE
Former [2018/32]WEED CONTROL SYSTEMS AND METHODS, AGRICULTURAL SPRAYER
Former [2018/32]SYSTÈMES ET PROCÉDÉS DE LUTTE CONTRE LES MAUVAISES HERBES, PULVÉRISATEUR AGRICOLE
Examination procedure04.02.2019Amendment by applicant (claims and/or description)
04.02.2019Examination requested  [2019/11]
04.02.2019Date on which the examining division has become responsible
18.12.2020Despatch of a communication from the examining division (Time limit: M06)
28.06.2021Reply to a communication from the examining division
10.11.2021Communication of intention to grant the patent
08.03.2022Fee for grant paid
08.03.2022Fee for publishing/printing paid
08.03.2022Receipt of the translation of the claim(s)
Opposition(s)16.01.2023No opposition filed within time limit [2023/12]
Fees paidRenewal fee
25.01.2019Renewal fee patent year 03
28.01.2020Renewal fee patent year 04
20.01.2021Renewal fee patent year 05
27.01.2022Renewal fee patent year 06
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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  TooltipAL13.04.2022
AT13.04.2022
CZ13.04.2022
DK13.04.2022
EE13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
MC13.04.2022
PL13.04.2022
RO13.04.2022
RS13.04.2022
SE13.04.2022
SI13.04.2022
SK13.04.2022
SM13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
IS13.08.2022
PT16.08.2022
[2023/44]
Former [2023/25]AL13.04.2022
AT13.04.2022
CZ13.04.2022
DK13.04.2022
EE13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
PL13.04.2022
RO13.04.2022
RS13.04.2022
SE13.04.2022
SI13.04.2022
SK13.04.2022
SM13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
IS13.08.2022
PT16.08.2022
Former [2023/17]AL13.04.2022
AT13.04.2022
CZ13.04.2022
DK13.04.2022
EE13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
PL13.04.2022
RO13.04.2022
RS13.04.2022
SE13.04.2022
SK13.04.2022
SM13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
IS13.08.2022
PT16.08.2022
Former [2023/09]AT13.04.2022
CZ13.04.2022
DK13.04.2022
EE13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
PL13.04.2022
RO13.04.2022
RS13.04.2022
SE13.04.2022
SK13.04.2022
SM13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
IS13.08.2022
PT16.08.2022
Former [2023/07]AT13.04.2022
DK13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
PL13.04.2022
RS13.04.2022
SE13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
IS13.08.2022
PT16.08.2022
Former [2022/51]AT13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
PL13.04.2022
RS13.04.2022
SE13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
IS13.08.2022
PT16.08.2022
Former [2022/50]AT13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
PL13.04.2022
RS13.04.2022
SE13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
PT16.08.2022
Former [2022/49]AT13.04.2022
FI13.04.2022
HR13.04.2022
LT13.04.2022
LV13.04.2022
SE13.04.2022
BG13.07.2022
NO13.07.2022
GR14.07.2022
PT16.08.2022
Former [2022/47]AT13.04.2022
FI13.04.2022
LT13.04.2022
SE13.04.2022
NO13.07.2022
PT16.08.2022
Documents cited:Search[XY]US4015366  (HALL III ARTHUR D) [X] 1,14,15 * As another example of template formation, the formation of templates for determining the growth stage of corn will be given. The first step in establishing the templates for the growth stage of corn will be for the farmer to train an appropriate indirect sensor, for example, a television camera, flying spot scanner or the like, on a corn plant at a known stage of growth. The resulting image is then stored in the computer's memory bank and, by way of the input keyboard, information is fed to the computer that the storage image is representative of corn at the known stage of growth. Subsequent images are taken at any desired interval to permit an adequate representation of the corn at all growth stages of interest. Thereafter, when corn of an "unknown" age is subjected to visual scanning, the computer makes a rapid comparison of the instant image to the "prerecorded" images or templates until the "unknown" image can be matched to a prerecorded image or template. In this manner, it is possible, utilizing the computer, to determine the age of the corn. Templates in the template file 126 will, of course, have been prepared in advance of the packing operation to enable a color image and size comparison to be made, and to recognize surface defects. No special orientation of the fruit while it is between the scanners 604 is necessary since the computer can compare the fruit to a number of templates to allow for various orientations. For example, assuming that apples are the fruit being graded, three classes of templates will generally suffice for any grading since tests have shown that up to 95% of apples floating in water float with the stem end up, a few percent float with the stem end down and the balance with the cheek up.;; figure 1; claim 35 * [Y] 2-13;
 [XY]US2012195496  (ZAMAN QAMAR-UZ [CA], et al) [X] 1,14,15 * paragraph [0010] - paragraph [0030]; claims 5,6,10,14,15,16 *[Y] 1-13;
 [XY]WO2016025848  (MONSANTO TECHNOLOGY LLC [US]) [X] 1,14,15 * [0045] Particularly, the distance L-x is utilized as a periodic interval at which the imaging devices 18 will be operated by the data processing system 38 and will capture sequential sets of image data as the system 10 moves through the field.Because the periodic interval of the image data capture is L-x, wherein L is the length of the field of views 42, each set of image data captured will comprise overlapping image data with the image data captured at the previous periodic interval L-x. [0049] For example, in various implementations, execution of the plant analytics software calculates a pixel by pixel color ratio between normalized color and N IR image data for each set of image data captured. That is, the algorithm takes each pixel from the color image data and compares it to the same pixel (e.g., a pair of co-registered pixels) from the NIR image data and calculates a color ratio between the two, which provides a numeric value for each pixel.This numeric value is sometimes referred to as a normalized difference vegetative index (NDVI), which is correlated to the amount of chlorophyll contained in the various parts of the plant, and therefore, can be used to detect the level of chlorophyll contained in various parts of a plant and/or detect and/or quantify the amount and distribution of vegetation in an image. [0053] Furthermore, execution of the plant analytics software can stitch together the images (e.g. stitching the color images and the NIR images to extract a false color image 74) for all sets of image data for each imaging device 18 using the image data set overlap, described above, to generate a comprehensive false color image 74 of the entire field, or of one or more particular plots within the field.; paragraphs [0045] , [0049] , [0053] * [Y] 1-13;
 [XY]DE102015111889  (REICHHARDT ANDREAS [DE]) [X] 1,14,15 * [0010] Der Vergleich von Bilddateien oder von einer Bilddatei und einer Referenzbilddatei kann mittels eines Computers unter Anwendung von Bildanalyseprogrammen erfolgen und Kriterien wie Gleichmäßigkeit, Form, Helligkeitsunterschiede und dergleichen beinhalten. Da ein gewisses Maß von Abweichung jeder Bilddatei gegenüber der Referenzdatei zu erwarten ist, ist es weiterhin zweckmäßig, Toleranzkriterien zu definieren, die das Ausmaß vertretbarer Abweichungen bestimmen. Nur bei einem Überschreiten festgelegter Toleranzkriterien wird dann die Auswertung einer Bilddatei einen Hinweis auf einen Funktionsmangel der betreffenden Düse ergeben. [0011] Im Gegensatz zu den bekannten Sprühverfahren kommt es bei dem Verfahren nach der Erfindung jedoch nicht darauf an, die mengenmäßige Verteilung der Sprühsubstanz über einen Querschnitt des Sprühstrahls zu bestimmen. Eine solche Verteilung ist für die in einer Sprüheinrichtung verwendeten Düsentypen in der Regel als aus der Düsenkonstruktion resultierend festgelegt und von dem Druck, mit dem die Sprühsubstanz der Düse zugeführt wird, abhängig. Bei dem Verfahren nach der Erfindung wird vielmehr von dem Verteilungsprofil einer einwandfreien Düse eines verwendeten Düsentyps ausgegangen und hierfür ein für die Prüfung maßgebliches Referenzbild in einer Referenzbilddatei gespeichert. Die Prüfung beschränkt sich dann auf einen Vergleich der erfassten Bilddateien von Sprühkegelbereichen der einzelnen Düsen mit einer dazugehörenden Referenzbilddatei.Ebenso kann ein Vergleich der erfassten Bilddateien untereinander zu Feststellung eines Düsenfehlers führen, da in der Regel ein Fehler nicht gleichzeitig an allen Düsen auftritt.; paragraphs [0010] , [0011] , [0014] , [0019]; claims 7,8 * [Y] 2-13
ExaminationUS2002024665
 US2015245565
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