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Application Number:5924017
Status:
Unknown
Class:42
Filing Date:Fri, 05 May 2023
In Progress

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"KRISHIVAAS" is still moving through the registration pipeline. Most applications hit at least one hurdle — objection, opposition or a hearing — and deadlines at each stage are short. Get notified the moment the status changes.

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Trademark Information

TrademarkKRISHIVAAS
Trademark TypeWordmark
Class42
Application Number5924017
Nature/Scope of businessProviding algorithms based technology to monitor remotely the farm land to detect crop stresses EARLY without any human intervention, tracking and estimating the occurrence of key phenology dates and crop health and maturity, IT based and IT enabled farming solutions and services using GIS and Remote Sensing Technology, proving technology and Artificial intelligence based solutions to agricultural sector.
PublicationIn Journal No. 2266
Status
Unknown
Applicant: AGRIBRIDGE INDIA LLP
Applicant AddressPlot No. 265-H, Road No. 10, Jubilee Hills, Hyderabad – 500 033, Telangana. LIMITED LIABILITY PARTNERSHIP
JurisdictionCHENNAI
AgentRAJULA SIVARAM REDDY
Agent AddressPlot No. 188, Road No. 21-A, Prashasan Nagar, Road No. 72, Jubilee Hills, Hyderabad - 500096, Telangana

Frequently Asked Questions

Who is the owner of trademark KRISHIVAAS?
The trademark application number 5924017 is owned by AGRIBRIDGE INDIA LLP.
Which class does trademark KRISHIVAAS belong to?
Trademark application number 5924017 is filed under Class 42, which relates to the specified goods and services.
Who is the trademark agent for application 5924017?
The trademark agent associated with application number 5924017 is RAJULA SIVARAM REDDY.
Was trademark KRISHIVAAS published in the journal?
Yes, trademark application number 5924017 was published in Journal No. 2266.
What is trademark KRISHIVAAS?
Trademark application number 5924017 relates to "Providing algorithms based technology to monitor remotely the farm land to detect crop stresses EARLY without any human intervention, tracking and estimating the occurrence of key phenology dates and crop health and maturity, IT based and IT enabled farming solutions and services using GIS and Remote Sensing Technology, proving technology and Artificial intelligence based solutions to agricultural sector.".

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