CGIAR Wheat Growth Stage Challengeby CGIAR Platform for Big Data in Agriculture
Predict which phase of growth wheat crops are in using photos taken by farmers in India
Prize
$3 000 USD
Time
Ended over 2 years ago
Participants
204 active ยท 519 enrolled
Helping
India
Computer Vision
Prediction
Agriculture
Description

Meet Yauhen Babakhin, winner of the CGIAR Wheat Growth Stage Challenge

Picture-based insurance (PBI) improves crop insurance for small scale farmers around the world, where images from a smartphone camera keep a record of a crop’s growth and record any damage events that will affect insurance payouts. PBI is a great way for insurers to verify events and to monitor crop growth, but it can also generate overwhelming amounts of data once images stream in from thousands of farmers.

For this competition, you will help us automate one part of the data processing pipeline: estimating the growth stage of a wheat crop based on an image sent in by the farmer. The images are automatically cropped to show a section of the field. Your model must take in an image and output a prediction for the growth stage of the wheat shown, on a scale from 1 (crop just showing) to 7 (mature crop). Your solution must operate on the input image ONLY - no additional data may be used.

The PBI project is led by the International Food Policy Research Institute (IFPRI) and supported by CGIAR Research Programs for Climate Change, Agriculture and Food Security (CCAFS), Policies, Institutions and Markets (PIM), and Big Data in Agriculture, as well as UK Natural Environment Research Council (NERC) and International Initiative for Impact Evaluation (3ie). The PBI data was collected in partnership with the Borlaug Institute for South Asia (BISA) and the Centre for Agriculture and Bioscience International.

This competition is sponsored by CGIAR Platform for Big Data in Agriculture and Amazon Web Services. All winners will be invited to present their solutions at the Big Data in Agriculture Convention which will be held online on 16-18 October 2020.

About CGIAR Platform for Big Data in Agriculture (https://bigdata.cgiar.org)

CGIAR Platform for Big Data in Agriculture is a research support platform that aims to harness the capabilities of big data and data science to accelerate and enhance CGIAR’s international agricultural research impact.

About Amazon Web Services (https://aws.amazon.com)

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally, including Cape Town, South Africa. Millions of customers, including academic and research institutions like CGIAR, are using AWS to lower costs, become more agile, and innovate faster.

About The Big Data in Agriculture Convention

This convention, taking place virtually on 19-23 October 2020, will be the first One CGIAR hosted event, leveraging inclusive inputs from each of the global Centers offering a glimpse of how they are employing digitally-enabled, dynamic methods to combat global food security challenges flowing from current crises.

This year's theme - Digital Dynamism for Adaptive Food Systems - will examine food system resilience and highlight how digital tools and technologies can help us sense, respond and (re)build better systems in times of global food security crises.

Rules

This challenge is open to all and not restricted to any country.

Teams and collaboration

You may participate in competitions as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the total number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.

Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be immediately disqualified from the platform.

Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).

The Zindi user who sets up a team is the default Team Leader. The Team Leader can invite other data scientists to their team. Invited data scientists can accept or reject invitations. Until a second data scientist accepts an invitation to join a team, the data scientist who initiated a team remains an individual on the leaderboard. No additional members may be added to teams within the final 5 days of the competition or the last hour of a hackathon, unless otherwise stated in the competition rules

A team can be disbanded if it has not yet made a submission. Once a submission is made individual members cannot leave the team.

All members in the team receive points associated with their ranking in the competition and there is no split or division of the points between team members.

Datasets and packages

The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.

You may use only the datasets provided for this competition. Automated machine learning tools such as automl are not permitted.

If the challenge is a computer vision challenge, image metadata (Image size, aspect ratio, pixel count, etc) may not be used in your submission.

You may use pretrained models as long as they are openly available to everyone.

The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.

You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.

Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.

Submissions and winning

You may make a maximum of 10 submissions per day. Your highest-scoring solution on the private leaderboard at the end of the competition will be the one by which you are judged.

Zindi maintains a public leaderboard and a private leaderboard for each competition. The Public Leaderboard includes approximately 50% of the test dataset. While the competition is open, the Public Leaderboard will rank the submitted solutions by the accuracy score they achieve. Upon close of the competition, the Private Leaderboard, which covers the other 50% of the test dataset, will be made public and will constitute the final ranking for the competition.

If you are in the top 20 at the time the leaderboard closes, we will email you to request your code. On receipt of email, you will have 48 hours to respond and submit your code following the submission guidelines detailed below. Failure to respond will result in disqualification.

If your solution places 1st, 2nd, or 3rd on the final leaderboard, you will be required to submit your winning solution code to us for verification, and you thereby agree to assign all worldwide rights of copyright in and to such winning solution to Zindi.

If two solutions earn identical scores on the leaderboard, the tiebreaker will be the date and time in which the submission was made (the earlier solution will win).

If the error metric requires probabilities to be submitted, do not set thresholds (or round your probabilities) to improve your place on the leaderboard. In order to ensure that the client receives the best solution Zindi will need the raw probabilities. This will allow the clients to set thresholds to their own needs.

The winners will be paid via bank transfer, PayPal, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners. The top 3 winners or team leaders will be required to present Zindi with proof of identification, proof of residence and a letter from your bank confirming your banking details.

You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.

Zindi is committed to providing solutions of value to our clients and partners. To this end, we reserve the right to disqualify your submission on the grounds of usability or value. This includes but is not limited to the use of data leaks or any other practices that we deem to compromise the inherent value of your solution.

Zindi also reserves the right to disqualify you and/or your submissions from any competition if we believe that you violated the rules or violated the spirit of the competition or the platform in any other way. The disqualifications are irrespective of your position on the leaderboard and completely at the discretion of Zindi.

Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.

  • Reproducibility of submitted code
  • If your submitted code does not reproduce your score on the leaderboard, we reserve the right to adjust your rank to the score generated by the code you submitted.
  • If your code does not run you will be dropped from the top 10. Please make sure your code runs before submitting your solution.
  • Always set the seed. Rerunning your model should always place you at the same position on the leaderboard. When running your solution, if randomness shifts you down the leaderboard we reserve the right to adjust your rank to the closest score that your submission reproduces.
  • We expect full documentation. This includes:
  • All data used
  • Output data and where they are stored
  • Explanation of features used
  • A requirements file with all packages and versions used
  • Your solution must include the original data provided by Zindi and validated external data (if allowed)
  • All editing of data must be done in a notebook (i.e. not manually in Excel)
  • Environment code to be run. (e.g. Google Colab or the specifications of your local machine)
  • Expected run time for each notebook. This will be useful to the review team for time and resource allocation.

Data standards:

  • Your submitted code must run on the original train, test, and other datasets provided.
  • If external data is allowed, external data must be freely and publicly available, including pre-trained models with standard libraries. If external data is allowed, any data used should be shared with Zindi to be approved and then shared on the discussion forum. Zindi will also make note of the external data available on the data page.
  • Packages:
  • You must submit a requirements file with all packages and versions used.
  • If a requirements file is not provided, solutions will be run on the most recent packages available.
  • Custom packages in your submission notebook will not be accepted.
  • You may only use tools available to everyone i.e. no paid services or free trials that require a credit card.

Consequences of breaking any rules of the competition or submission guidelines:

  • First offence: No prizes or points for 6 months (probation period). If you are caught cheating, all individuals involved in cheating will be disqualified from the challenge(s) you were caught in and you will be disqualified from winning any competitions or Zindi points for the next six months.
  • Second offence: Banned from the platform. If you are caught for a second time your Zindi account will be disabled and you will be disqualified from winning any competitions or Zindi points using any other account.
  • Teams with individuals who are caught cheating will not be eligible to win prizes or points in the competition in which the cheating occurred, regardless of the individuals’ knowledge of or participation in the offence.
  • Teams with individuals who have previously committed an offence will not be eligible for any prizes for any competitions during the 6-month probation period.

Monitoring of submissions

  • We will review the top 20 solutions of every competition when the competition ends.
  • We reserve the right to request code from any user at any time during a challenge. You will have 24 hours to submit your code following the rules for code review (see above). Zindi reserves the right not to explain our reasons for requesting code. If you do not submit your code within 24 hours you will be disqualified from winning any competitions or Zindi points for the next six months. If you fall under suspicion again and your code is requested and you fail to submit your code within 24 hours, your Zindi account will be disabled and you will be disqualified from winning any competitions or Zindi points with any other account.
Evaluation

The error metric for this competition is the Root Mean Squared Error.

For every row in the dataset, submission files should contain 2 columns: UID and growth_stage.

Your submission file should look like this:

UID           growth_stage
F3LbWkZq          1
6P4wLVzI          5
Prizes

There will be two winners from two pools or participants. The first pool is for data scientists and researchers that are from the CGIAR network and the second is for anyone else on Zindi that is not part of the CGIAR network!

CGIAR

  • 1st Place: $1 500 USD in AWS Credit
  • 2nd Place: Pluralsight 1-Year Premium Membership

Outside of CGIAR

  • 1st Place: $1 500 USD (Cash)
  • 2nd Place: Pluralsight 1-Year Premium Membership

1st place winners from each pool will be invited to present their solutions at CGIAR Big Data Virtual Convention 2020 (19-23 October)

Timeline

Competition closes on 4 October 2020.

Final submissions must be received by 11:59 PM GMT.

We reserve the right to update the contest timeline if necessary.