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Data in Climate Resilient Agriculture (DiCRA) is a collaborative digital public good which provides open access to key geospatial datasets pertinent to climate resilient agriculture. These datasets are curated and validated through collaborative efforts of hundreds of data scientists and citizen scientists across the world.

Home Page: https://dicra.undp.org.in/

License: MIT License

Jupyter Notebook 97.79% Python 1.57% Mako 0.01% HTML 0.01% JavaScript 0.58% CSS 0.05% Dockerfile 0.01% Shell 0.01%
opendata opensoftware data-for-good agriculture-data analytics geospatial

dicra's Introduction

About DiCRA

Data in Climate Resilient Agriculture (DiCRA) is a collaborative digital public good which provides open access to key geospatial datasets pertinent to climate resilient agriculture. These datasets are curated and validated through collaborative efforts of hundreds of data scientists and citizen scientists across the world. The pattern detection and data insights emerging from DiCRA are aimed towards strengthening evidence-driven policy making for climate resilient food systems. DiCRA is guided by the digital public good principles of open access, open software, open code and open APIs.

Partners

The platform is facilitated by Government of Telangana and UNDP, in collaboration with Zero Huger Lab (Netherlands), JADS (Netherlands), ICRISAT, PJTSAU, and RICH. It is part of UNDP’s ‘Data for Policy’ initiative supported by Rockefeller Foundation.

Data Flow

Data collaboration and synchronization is vital for implementing this technology solution. This platform aims to incorporate data from Open data platforms, Non-Public Domain datasets through data partnerships and incorporate data from open APIs.

Following is a depiction of the dataflow proposed under the project -

image

Terms of Service and Use

The DiCRA Platform is an open data platform managed by the United Nations Development Programme. These Terms of Service (hereafter ‘Terms’ or ‘these Terms’) describe how DiCRA is managed and how the platform should be used. UNDP will update these Terms as needed, and will post notice of significant updates on our GitHub Page and through the DiCRA Platform. All organizations and individuals using this platform are bound by these Terms. If you do not agree with the Terms, you should discontinue use of DiCRA. If you have any questions or comments about these Terms or DiCRA, please leave a comment on the Discussions tab of our GitHub repository or send an email to [email protected]

DiCRA Platform encourages collaborations from the open source community to improve our datasets, analytics, and software. All the contributors have to adhere to the Code of Conduct detailed here.

Disclaimer

The DiCRA online platform and its content are made available by the UNDP team. The content providers make no warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of this content or its online services, nor represent that its use may not potentially infringe property rights. UNDP makes no warranty that DiCRA online services and its content will be uninterrupted or error-free, nor that any defects will be corrected, nor that its online services or content will be free of viruses or other harmful components. UNDP assumes no liability for possible damages or implications which occur by direct or indirect use of DiCRA services or content.

Privacy

User contact details are only shared with the administrator of the DiCRA Platform if the user needs to download datasets.

UNDP upholds the highest standard of data protection for the personal data of DiCRA users and organization administrators. In case such personal data is exposed, UNDP will notify all affected individuals and remedy the incident.

UNDP continually seeks to understand the behavior of users on the DiCRA platform in order to make improvements. To do so, UNDP uses third-party analytics services, such as Google Analytics. This service use cookies stored on users’ devices to send encrypted information to Google Analytics about how users arrived at DiCRA, what pages they visited on DiCRA, and their actions within those pages. UNDP does not send identifying information (including names, usernames, or email addresses) to Google Analytics. Google Analytics’ use of the data collected from the DiCRA platform is governed by their respective Terms of Use. If you would like to disable the tracking described above, you can install the Google Analytics Opt-out Browser Add-on to disable Google Analytics tracking. The data collected by these tracking systems will be retained indefinitely in order to understand how user behavior is changing over time.

Data Licensing

Each of the datasets made available through the DiCRA PLatform have their own data use licensing and citation requirement. More information regarding this is made available at the following link. By downloading the data through DiCRA Platform, the user acknowledges the individual data source's data use agreements and have to cite the data source as per the citation format of the dataset.

Our Team

DiCRA is a collaborative effort of national and International data scienstists, policy experts, researchers and agriculture domain experts

Core Team

Peer Review Team

dicra's People

Contributors

ambarish-narayanan avatar amjad195 avatar hari1605 avatar icrisat-gbds avatar jesseswinkels1 avatar maneesh7012 avatar miekecouwenberg avatar parvathykrishnank avatar shivangpandey31 avatar shubhamcodez avatar swetha-kolluri avatar

Stargazers

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Watchers

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dicra's Issues

Soil Dataset

Since it is not specified in Assignment RDD, one shouldn't use the soil metrics provided in the dataset of this Github, right ?
(soil texture, depth, carbon)

What do sensors measure ?

Hello everyone,
Our group has 2 questions about the sensors.

-Is there any litterature about them ? (model, number of them deployed, kind of deployment,...)

-They are assumed to measure the humidity of a soil. But does the measure take into account the additional water provided by the irrigation system ? Or is it "natural" soil humidity ? In other words, are the sensors in cultivated fields or not ?

Data provided by farmers

Hello everyone,
Our group has 2 questions about the specific data a farmer should provide.

-First, concerning the type of crop, does the farmer give a list of crops he will likely plant in the future ? That-is-to-stay what crops he knows how to farm or crops he has in stock. For instance, while registering, he could give his list of crops : [corn,soya,...]

Or does he only specify what kind of crop he chooses for one production ? And so, he would for example give to the system : "10t of wheat produced on October-July".

-Secondly, we are told that personalized suggestions advise fertilizers. Thus, should the farmer specify what fertilizer he generally uses ? Or the specific fertilizer he uses for a specific harvest ? Actually we are not sure that farmers use the same fertilizer for different crops.

Who will be considered as policy makers?

Hello, thanks for your attention and help in advance.

Our group has a question about policy maker.
Up to now we assumed them as people from Telangana's government, India's government, United Nations ecc.
However, will there also be the possibility for everyone to register to the platform if they are interested in seeing the data?
If so, should we give different rights among policy maker depending on their role? (Read only, Read & Write etc)

Thanks again

Triggers for farmer and policy makers actions

Hello everyone,
Our group has 3 questions about the event that should urge people to interact with the system.

Firstly, we know that policy makers should be able to identify well and poorly performing farmers. Should it be whenever they want ? (so even when farmers haven't finished their harvest) Or should it be once a year, semester,... ?

Likewise, should farmers be able to release production data whenever they want or on regular times (every month, semester,...) ?

Finally, for help request, is it the farmer that autonomously asks for it ? Or the system that identified that he was badly performing ? (independantly of the policy maker identification of poorly performing farmers)

What are the "incentives" ?

Hello everyone,
Our group has 2 questions about the incentives the policy makers can grant to to farmers.

-Is this a financial support ?

-If it is the case, should it be handled by the system ? Or is it just supposed to warn the farmer, so that some kind of administrative procedure can be led to receive the cash ?

the standards to name a farmer a good or bad farmer.

Hello
I hope you are doing well.
Having Qualitative criteria in the RASD file is a big drawback for our work. So, I need to know how can I assume some farmer to be good farmers? or how to assume some farmers to be bad farmers.
please give me a standard so that referring to it, I can speak with Quantitative criteria.
Thank you very much
Amirhossein

Policy makers area

Hello,
Our group would like to know on what area the policy makers have authority. Is it on a district ? Or is it on a mandal ? And is there only one policy maker dedicated to one area ?

Request to Update India Map for Accurate Representation

I noticed that the current map of India used in the project is incorrect. As an advocate for accurate representation, I kindly request you to update it with the correct map. This will ensure compliance with legal and cultural considerations while promoting a positive image.

Thank you for your attention to this matter.

Irrigation system data

Hello everyone,
Our group has 1 question about the irrigation system data.

-Is the amount of water used daily measured ?

Personalized suggestions

Hello everyone,
Our group has 2 questions about how to personalize suggestions to farmers.

-We understood that the suggestion should be based on location and production type. What is the production type ? The means of production of the farmer (machines, spreaders,...), if it is intensive cultivation, fallow method, ... ?

-Humidity, weather forecasts or best practices shouldn't be taken into account ? Then, is there some kind of standard table ? (for some place and production type one could advise some crop and some fertilizers)

Performance metrics

Hello everyone,
Our group has 3 questions about how to determine if a farmer performs well or poorly.

We can easily assume it is linked to the amount of the production. But since we want an intensive quantity, should the farmer also provide the fields surface ? So we could have a surfacic productivity (eg. in tonnes per km²). Is it also possible that some farmers plant more than once in a year ? (eg. hay) In that case, the system may require the duration dedicated to a specific crop (in order to compare two farmers that have produced the same amount but in different timelapses). And we would thus need a productivity in tonnes/(km².days).

Should the system take also into account the weather conditions or the soil humidity ? We think that someone in a sunny area should not be put on an equal footing with someone in a cloudy one.

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