{"signature": "0xfa1bbfa3096741008545012cd33baa1848b9f279862ac6e205e5f30efae1510053de56bd38b4207f337f3474c9812d416b406e5dc8a84d22e282e640f713e7b31c", "application": {"round": "0x0c0412ddb846096ea1e37de717921ebf4fef9a39", "answers": [{"type": "email", "hidden": true, "question": "Email Address", "questionId": 0, "encryptedAnswer": {"ciphertext": "WuBXh2PqQoS56g+58hoq3ndYZfmhnKxamS8kjFD9eAjCMQMv1AiyjL5QE60U5Jkk", "encryptedSymmetricKey": "c9e1f8ec7ca2f31251d0435862421eab37ce504f4301c9db49aa30494f7ffdfe8c792e3dded1d241bffc8a1d186f9311c74a76654e9965b38c724b76673c69581c19d67ecce81b36ebb90cdda5c8122465ea53b3c7effa7f98626bbe7aca25b742b8b5a59681e00127ef3fe99bd7916c6782869ff68630d9069a5a22eb43d29d0000000000000020ac6b8bbdf6305847b79672f3e080edc0bcee428299cd50a24ae34f93d71cc155e9ccd7bd9e4b7ff6673047fce1e82994"}}, {"type": "short-answer", "answer": "Gitcoin", "hidden": false, "question": "Funding Sources", "questionId": 1}, {"type": "number", "answer": "5", "hidden": false, "question": "Team Size", "questionId": 2}, {"type": "short-answer", "answer": "vbaulin", "hidden": true, "question": "Telegram username", "questionId": 3}, {"type": "paragraph", "answer": "1000$", "hidden": true, "question": "Total prior funding for project in USD", "questionId": 4}, {"type": "paragraph", "hidden": true, "question": "Profiles or socials of other main team members publicly associated with project", "questionId": 5}, {"type": "short-answer", "answer": "36", "hidden": true, "question": "How old is the project? (Months)", "questionId": 6}, {"type": "paragraph", "answer": "Vin-Q aims to initiate a global transition to regenerative agriculture through the collective action of distributed research. By adopting a data-centric approach, Vin-Q seeks to transform farming practices through data-guided decisions and knowledge sharing.\n\nTo achieve this, Vin-Q is developing **data-centric tools** within the platform that not only collects data but also processes it using various disease models and mitigation scenarios. One of the solutions is the development of AI agents, trained on specific field data and historical information that allow fully personalization by the farmer to assist in decision-making by linking data sources of the field and providing predictions.\n\nThese tools link existing scientific literature with real-time IOT sensors, soil health data and historical practice records, helping farmers to test and implement regenerative agriculture techniques. They aim at visualization and highlight the need for changes in agricultural practices also suggesting the best practices. Establishing predictive and personalized models for each farm and prediction of diseases aims to reduce treatments in organic farms and scientifically demonstrate the potential of regenerative agriculture with visual and simple platform.\n\nOn other side, the network of sensors and experiences represent a distributed and decentralized laboratory of decentralized science that provide evidence of best practices in the transition towards personalized regenerative practices fully controlled by farmers.\n\nVinQ ([https://vin-q.com/](https://vin-q.com/)) platform is an example of distributed research (DeSci) and new type of collaboration based on sharing reliable data. The farmers collect data individually in their fields, establishing their priorities and objectives. \n\nThe data can be categorized into two types: real, verifiable data reflecting the actual state (ground truth) such as microbiology, climate, soil quality, diseases, and production, which can be confirmed through fact-checking and represents a point in a parameter space. The other type of data pertains to the management style, which includes actions that affect points in a parameter space. Any treatments or fieldwork carried out to mitigate problems or improve conditions reflect the personalized style of the individual. By utilizing AI to connect these two types of data, a governance system is established, where individuals autonomously explore parameter space while AI is trained on real-world consequences. \n\n\n", "hidden": false, "question": "Describe your project in a few paragraphs (ideally including a problem statement, solution, roadmap, and timeline for implementation)", "questionId": 7}, {"type": "paragraph", "answer": "By integrating a data platform with machine learning algorithms and visualization tools, Vin-Q can not only improve decision-making processes but also predict future vineyard performance and optimize management strategies proactively.\n\n1. **Convert farms into distributed research sites** equipped with sensors and controlling the parameters at each step.\n2. **Encourage Community Innovation**: Users can share and valorize personalized strategies, fostering swarm intelligence and collaborative problem-solving.\n3. **Reducing Centralized Risks**: Distributing AI capabilities across a network of autonomous agents reduces the risks associated with centralized systems and \"expert\" advices.\n4. **De-risk the transition to regenerative agriculture** through sharing knowledge from successful applications.\n5. **Provide a distributed and decentralized research** space to test new methods, ideas in real environment with the participation of farmers.\n6. **Creation of well-curated datasets** for regenerative agriculture.", "hidden": false, "question": "How does your project support the mission or goals of DeSci?", "questionId": 8}, {"type": "paragraph", "answer": "investing in equipment for distributed DeSci sites: sensors and cameras", "hidden": false, "question": "Describe how funds from the grants program will be used for your project. ", "questionId": 9}, {"type": "paragraph", "hidden": true, "question": "If you participated in past grant rounds (i.e. DeSci GR15/ Beta) using a different project payout wallet address, please share it here.", "questionId": 10}, {"type": "paragraph", "answer": "Installed sensors in the test fields", "hidden": false, "question": "If this project participated in past grant rounds, please share any new updates or milestones since the last round.", "questionId": 11}, {"type": "paragraph", "hidden": true, "question": "Is there any other information you would like to share about your project, previous work, other project affiliations, or potential conflicts of interest? (or anything not covered elsewhere in this application that you feel is relevant to share)", "questionId": 12}, {"type": "checkbox", "answer": ["No"], "hidden": false, "question": "Does 50% of your team reflect the diversity of the community your project serves with a particular emphasis on including women, Black, Indigenous, and People of Color (BIPoC), individuals with disabilities, and members of the LGBTQ+ community?", "questionId": 13}, {"type": "multiple-choice", "answer": "I already read the above exclusion criteria and understand those exclusion criteria are not permitted and will result in rejection or removal from the round.", "hidden": true, "question": "Please read the following exclusion criteria that are not permitted and will result in rejection or removal from the round.", "questionId": 14}], "project": {"id": "0x3caef6852c9d963611a82394601cc37f14d5e8f596fa07fc0f371e6a4e19c925", "title": "VinQ: Decentralized co-creation for regenerative viticulture", "logoImg": "bafkreigtct4mm62wypvdohluwxuv4666kxrsuopyhuptivqvhsxq7w3c2e", "metaPtr": {"pointer": "bafkreih7judrkj6jcvofuzkpgfuygpsjdqr3jzgmdzjm3diw7zuupifoqe", "protocol": "undefined"}, "website": "https://vin-q.com", "bannerImg": "bafkreifjuntmbts3mss35ulu2z7skoczx2syzlb4wanjvolcxm2vsepn6m", "createdAt": 1710574508866, "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..Wa87r3A4BlaG9aYUGL90iEfemIkaPJY294ajYQxRx0VMQl-aVfGqDD8N_8kLsx8BlUr9PupChA19tZVdiM1xDQ", "type": "Ed25519Signature2018", "created": "2024-03-16T07:34:34.835Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-03-16T07:34:34.835Z", "expirationDate": "2024-06-14T07:34:34.835Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x834f240B6dEdc7a0Cf6ae908115B5f0054fC81a4", "hash": "v0.0.0:GCd7crLSOBvcAxRk1MwuJr4TEowbl5iWm715KEizoQk=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#vinqcom"}}}, "description": "# Distributed research platform\n\nVinQ (https://vin-q.com) aims to find scientifically validated solutions to initiate a global transition to more sustainable practices in agriculture through participative research. \n\n## Aim\nInitiate the shift from traditional towards more sustainable, nature centered regenerative practices in agriculture using data-centered approach.\n\n## Actionable intelligence\n\nThis system uses AI to analyze and learn from individual actions, which are then cross-referenced with real-world consequences, facts and outcomes. This demonstrates the use of AI being trained on real-world data to improve human decision-making as an advocate of Nature, rather than on human-labeled training data.\n\n![actionable intelligence](https://vin-q.com/wp-content/uploads/2024/01/ls-project-76-slide-1-scaled.webp)\n## How it works\n\n### Data-centric knowledge sharing\n\n1. Collaboration based on sharing of reliable data. The farmers collect data individually in their fields and indicating their priorities and personal objectives.\n\n2. Two classes are connected with AI: \n\n- **Data from Nature:** True, verifiable data reflecting the actual state (ground truth) such as microbiology, climate, soil quality, diseases, and production, which can be confirmed through fact-checking. This data represent points in a parameter space. Any changes in this data are reflected.\n\n- **Actions** The other type of data pertains to the management style inducing the changes in the state, which includes actions that affect points in a parameter space. Any treatments or fieldwork carried out to mitigate problems or improve conditions reflect the personalized style. \n\nBy utilizing AI to connect these two types of data, a governance system is established, where the user autonomously explore parameter space while AI is trained on real-world consequences thus providing the farmer a feedback on the consequences for the Nature of his actions. \n\n### Dashboard\n\n![dashboard](https://vin-q.com/wp-content/uploads/2024/01/Picture1-scaled.webp)\n\n### Activities\n\n![permalink setting demo](https://vin-q.com/wp-content/uploads/2024/04/Screenshot-2024-04-14-at-18.55.07-scaled.webp)\n\n### Previous funding:\n\nThis project has not received any centralized grants or funding. It received donations through Gitcoin rounds: Climate rounds of GC18, GC19, Metagov, Hyperdesci: $189.86 crowdfunded from 134 people\n$609.96 received from matching pools.\n\nHypercerts are minted.\n\nThe money was used to build sensors and NAYAD remote sensing online platform for prediction of downy mildew and collection of basic fields in Penedes wine region. This setup is scalable. \n", "lastUpdated": 0, "projectTwitter": "vinqcom"}, "recipient": "0x834f240B6dEdc7a0Cf6ae908115B5f0054fC81a4"}}