Ref. No. : 53167502   
Company Name : Can be viewed by Subscribers
Product Detail : Tender notice for collection of geospatial field data & organization of data challenges for an ai driven open source crop map of telangana.
Tender Detail : Background:

FAIR Forward?has partnered with the DoA & ITE&C department of Government of Telangana to sustainably enhance the use of open Machine Learning for Earth observation (ML4EO) and support the development of an AI-based crop type map for the State of Telangana. This is part of FAIR Forward’s goal to “remove entry barriers to AI and improving access to training data and AI technologies for local innovation”.
Machine Learning (ML) and Artificial Intelligence (AI) offer a wide range of opportunities to improve agricultural practices when used in combination with publicly available satellite imagery. To generate meaningful and precise insights, ground-truth data for the training and testing of AI models is required.
The quality and usefulness of these models depends on the quality of this data. To guarantee that the AI model and the information it creates are used by both the farming community as well as local authorities, the model should be tailored to specific local requirements. This creates a need for high-quality, localized data that take Telangana’s’ heterogeneous agricultural zones and crop varieties into account.

The resulting AI-based models will lay the foundation for AI-driven agricultural surveying, crop identification and more advanced analytics such as health & disease monitoring and yield estimation. This supports evidence-based decision making for sustainable agriculture and allows to boost Telangana’s agricultural sector by enabling local companies and NGOs to develop innovative applications for farmers and the state.
Both the ground-truth dataset, the resulting AI models as well as the created crop type maps will be made openly available as digital public goods under an open license. This supports the Telangana AI ecosystem – start-ups, established governments as well as the government - in creating more AI applications for agricultural innovation by providing easy access to high-quality datasets, sharing technical know-how and a constant quality control on models used in production.

To achieve its goals, the project consists of the following objectives:
(1) Creation and publication of a high quality, open access ground-truth training dataset for different crops in Telangana.
(2) Organization of a data challenge that uses openly available satellite imagery (e.g., Sentinel-2) to classify crops in the state of Telangana. The challenge is to build a ML model to predict crop type classes for a test dataset. The winning open ML models of the challenge will be made publicly available for access and download on an appropriate open-source platform.
(3) Roadmap for implementation of AI solution for crop classification with Telangana’s Department of Agriculture and ITE&C Department.

The bidding firm will have to submit the proposal in hard copy and in a sealed envelope – please refer to the bidding conditions and follow the instructions carefully.

The detailed documentation with regards to this call for proposals includes:

• Terms of Reference for the Assignment
• Grid for Assessing the Eligibility of Firms
• Technical Evaluation Grid
• Bidding Conditions + Financial Format
• General Terms & Conditions of Contracts
Product Note : Timeline;

• Deadline to receive queries : 5th Oct’ 2022
• Clarifications to the queries : 11th Oct’ 2022
Tender Location : Telangana - India
Document Path : Can be viewed by Subscribers
Tender Closing Date : 19/10/2022 at 00:00 Hrs.
Tender Opening Date : 19/10/2022 at 00:00 Hrs.
Address : Can be viewed by Subscribers
Sub-Industry/Industry : Non Classified - Non Classified   
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