Closed ATM View - CSIRORFT2016009
Automated High Throughput Phenotyping System
Canberra
CSIRO through this RFT is seeking responses from suitably qualified and experienced service providers for the provision of an Automated High Throughput Phenotyping System (AHTPS) capable of dynamically measuring plant growth and development with high temporal and spatial resolution. This system is to be installed at the Black Mountain, Canberra ACT, plant precinct, in support of the Science and Industry Endowment Fund (SIEF) program.
The SIEF project requires an AHTPS to allow researchers to quantitatively and non-destructively analyse different crops and model plants grown under Glasshouse conditions. The AHTPS will monitor the growth of each plant contained in the glasshouse on a daily basis (in some cases, a few lanes multiple times per day) to assess impacts of a wide variety of factors on plant growth and development. This will allow CSIRO to improve its overall agricultural research capacity and its ability to support the Australian agriculture industry.
1. Conditions for Participation
Subject to clause 5.7, Unintentional Errors of Form, CSIRO will exclude a Tenderer from further consideration and evaluation if CSIRO considers in its absolute discretion that the conditions for participation set out in this clause have not been met by the Tenderer. Notwithstanding anything else contained in this Tender, only requirements listed in this clause will be deemed conditions for participation.
the Tenderer exists as a legal entity at the Tender Closing Time and Date at the time of lodgement of their Tender, Tenderers must not have been:
precluded from tendering for Australian Government funded work or subject to a judicial decision against them relating to employee entitlements (not including decisions under appeal, and have not paid the claim
2. The Tenderer must comply with all Mandatory Requirements identified in Clause 1.4 of Attachment A - Statement of Requirements.
installation of this system is to occur onsite at the Black Mountain Laboratories in December 2016 or January 2017