Tender Details

Country: USA
Summary: Dnr Water Node Evapotranspiration Sensor
UST Ref No: 117382610
Deadline: 14 Apr 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 2000016975
Purchaser's Detail:
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Description:
All responses must be submitted electronically through the SWIFT portal. No e-mail or faxed responses will be accepted. If portal system problems arise, contact the SWIFT vendor helpline at 651-201-8100 option 1. Purpose. The State of Minnesota Department of Natural Resources (DNR) intends to procure two Water Node Evapotranspiration (ET) Sensors that deliver real-time, validated data connecting automatically to cloud-based software providing remote viewing, sharing and downloading of actual ET measurements, as detailed in Exhibit C. Please be aware that there are attachments to this event. The vendor is responsible to review and comply with all requests that may be required in this event. Failure to respond to latest event version may result in bid rejection. DNR will be the determining factor if vendor meets specifications. All questions must be directed to the buyer listed on this event. DNR will only issue one purchase order per vendor. Payment will be made after all items have been received and approved. No partial payments
Documents:

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Dnr Water Node Evapotranspiration Sensor - USA Tender

The NATURAL RESOURCES DEPARTMENT, a Government sector organization in USA, has announced a new tender for Dnr Water Node Evapotranspiration Sensor. This tender is published on USARFP under UST Ref No: 117382610 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-04-14.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.