ESA Φ-lab together with KP Labs, and partner QZ Solutions, have created an extraordinary challenge, as they will revolutionize the future of farming with the help of in-orbit processing.
Maintaining farm sustainability through improving the agricultural management practices by the usage of recent advances in Earth observation and artificial intelligence has become an important issue nowadays. It can not only help farmers face the challenge of producing food at an affordable price, but can also be crucial step toward the planet-friendly agriculture.
Farmers need timely information about the soil parameters to optimize their fertilization process – this may ultimately lead to selecting a better mix of fertilizers, and to reducing the overall amount of them. The current approach for quantifying soil parameters is very time-consuming, and mostly relying on manual labor– soil samples need to be gathered in the field and mixed, to then be forwarded to specialized labs for further chemical analysis. Also, the number of sampling points in the field is limited and often scattered across large areas, compromising the eventual accuracy of the test results. Overall, the in-situ analysis is not scalable and extremely time-inefficient.
Why not exploit the cutting-edge airborne and satellite hyperspectral imaging technology for more sustainable agriculture, helping to shape a better future for our planet?
The objective of this challenge is to advance the state of the art for soil parameter retrieval from hyperspectral data in view of the upcoming Intuition-1 mission. A campaign took place in March 2021 over agricultural areas in Poland with extensive ground samplings collocated with airborne hyperspectral measurements from imagers mounted onboard an airplane. The hyperspectral data contains 150 contiguous hyperspectral bands (462-942 nm, with a spectral resolution of 3.2 nm), which reflects the spectral range of the hyperspectral imaging sensor deployed on-board Intuition-1.
Intuition-1 is a 6U-class satellite mission designed by KP Labs to observe the Earth using a hyperspectral instrument and an on-board computing unit capable of processing data using artificial intelligence in orbit. It will be the world’s first satellite with a processing power capable of advanced processing of hyperspectral images in orbit.
In this challenge, we aim to automatically estimate selected soil parameters, specifically, potassium (K), phosphorus pentoxide (P2O5), magnesium (Mg) and pH.
About AI for Good - International Telecommunication Union (ITU)
AI for Good is organized by ITU in partnership with 40 UN Sister Agencies. The goal of AI for Good is to identify practical applications of AI to advance the United Nations Sustainable Development Goals and scale those solutions for global impact. It’s the leading action-oriented, global & inclusive United Nations platform on AI.
The evaluation metric for this competition is Root Mean Squared Error.
For every row in the dataset, submission files should contain 2 columns: ID and Target.
In order to normalise the values the reference file was divided by the starter code submission file. To scale your submission file correctly, please divide it by the starter code submission file too.
Your submission file should look like this (numbers to show format only):
sample_index Target 1570_P 47.9 1570_K 165 1570_Mg 181 1570_ph 6.8 1571_P ... 1571_K ...
1st Place: $500 USD
2nd Place: $300 USD
3rd Place: $200 USD
There are 3 000 Zindi points available. You can read more about Zindi points here.
Participants are required to submit:
In evaluating the final submission, both the quality of the report (weighted 40%) and the achieved model score (weighted 60%) will be considered.
Competition closes on 12 November 2023.
Final submissions must be received by 11:59 PM GMT.
We reserve the right to update the contest timeline if necessary.
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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 data scientist who sets up a team is the default Team Leader but they can transfer leadership to another data scientist on the team. 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 last hour of a hackathon.
The team leader can initiate a merge with another team. Only the team leader of the second team can accept the invite. The default team leader is the leader from the team who initiated the invite. Teams can only merge if the total number of members is less than or equal to the maximum team size of the competition.
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.
If external data is allowed you may only use data that is freely available to everyone. You must send it to Zindi to confirm that it is allowed to be used and then it will appear on the data page under additional data.
You may use pretrained models as long as they are openly available to everyone.
You are allowed to access, use and share competition data for any non-commercial, research or education purposes, under a CC BY-NC-SA license.
@INPROCEEDINGS{9897443,
author={Nalepa, Jakub and Le Saux, Bertrand and Longépé, Nicolas and Tulczyjew, Lukasz and Myller,
Michal and Kawulok, Michal and Smykala, Krzysztof and Gumiela, Michal},
booktitle={2022 IEEE International Conference on Image Processing (ICIP)},
title={The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images},
year={2022},
pages={4268-4272},
doi={10.1109/ICIP46576.2022.9897443}
}
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.
You may make a maximum of 300 submissions for this competition.
Before the end of the competition you need to choose 2 submissions to be judged on for the private leaderboard. If you do not make a selection your 2 best public leaderboard submissions will be used to score on the private leaderboard.
During the competition, your best public score will be displayed regardless of the submissions you have selected. When the competition closes your best private score out of the 2 selected submissions will be displayed.
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 complete 100% of the test dataset, will be made public and will constitute the final ranking for the competition.
Note that to count, your submission must first pass processing. If your submission fails during the processing step, it will not be counted and not receive a score; nor will it count against your daily submission limit. If you encounter problems with your submission file, your best course of action is to ask for advice on the Competition’s discussion forum.
If you are in the top 10 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.Winners will be paid in USD or the currency of the competition. If your account cannot receive US Dollars or the currency of the competition then your bank will need to provide proof of this and Zindi will try to accommodate this.
Payment will be made after code review and an introductory call with the host.
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
Data standards:
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
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