AI Satellite Insights for Sustainable Farming

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Expert Review🌟
Ammar Khairi
Project Owner

AI Satellite Insights for Sustainable Farming

Funding Awarded

$30,000 USD

Expert Review
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Status

  • Overall Status

    🛠️ In Progress

  • Funding Transfered

    $13,000 USD

  • Max Funding Amount

    $30,000 USD

Funding Schedule

View Milestones
Milestone Release 1
$7,500 USD Pending TBD
Milestone Release 2
$5,000 USD Transfer Complete 11 Apr 2024
Milestone Release 3
$8,000 USD Transfer Complete 16 May 2024
Milestone Release 4
$6,500 USD Pending TBD
Milestone Release 5
$3,000 USD Pending TBD

Project AI Services

No Service Available

Overview

Satellite Insights for Sustainable Farming offers smallholder farmers AI-powered monitoring and insights. Using satellite imagery and computer vision, farmers can map fields, track crop health, and receive actionable recommendations via a user-friendly dashboard. Our mission is to democratize precision agriculture, enabling smallholders to optimize resources, boost productivity, and embrace sustainable practices for improved livelihoods.

Proposal Description

Company Name (if applicable)

EnigmaAI

How our project will contribute to the growth of the decentralized AI platform

             By making precision agriculture affordable for small farms, our project democratizes AI capabilities previously inaccessible for smallholders. Empowering even a fraction of the 500 million small farms around the world contributes to more optimized sustainability and food production. Our satellite-powered insights provide a  model for converting AI into on-ground impact.

New AI services:

Yes

Description of the new services.

          The services we will onboard to the SNET platform will integrated into our dashboard, enabling our users to access advanced AI insights with ease. Through API calls triggered from the dashboard, user information and data are transmitted to the SNET platform to optimize existing models. These models generate the requested outputs, such as land classification and yield estimation, which are then presented on the dashboard when ready.

Existing AI Services:

No

The core problem we are aiming to solve

             Smallholder farms make up over 80% of global farmland, feeding billions. Yet without access  to appropriate tech, these farmers lack the insights needed to optimize their practices. This data deficit leads to overusing seeds, water, and chemicals - reducing productivity and sustainability across critical acreage. The core problem is getting smallholder farms affordable platforms providing data insights to drive more optimized decisions benefiting yields, income, and the environment together.

Our specific solution to this problem

           Satellite Insights for Sustainable Farming tackles this data deficit through an intuitive platform using AI to translate satellite imagery and climate data into simplified field actions for smallholders. By leveraging computer vision and land classification models, our solution transforms complex variables like Leaf Area Index (LAI) into easily interpretable progress reports. These provide field-specific insights delivered right to smartphones or tablets.

             Tailored to guide rather than overwhelm, our service levels the playing field so smallholders can leverage some of the same information advantages as industrial farms. Easy-to-adopt location tracking and progress dashboards raising productivity while lowering environmental impact. Democratizing such precision technology for even a fraction of the over 500 million vulnerable farms empowers more climate-smart, sustainable food production worldwide.Our platform aims to address small farms' data barriers through relevant, accessible and actionable agricultural insights that lead to optimization.

Project details

Introduction:

         Smallholder farmers are the backbone of global agriculture, yet they often lack access to advanced technologies that could optimize their practices and promote sustainability. In response to this challenge, we introduce a solution that harnesses artificial intelligence (AI) to provide actionable insights and recommendations tailored to smallholder farmers.

Project Overview:

          Satellite Insights for Sustainable Farming is a project dedicated to enhancing smallholder farming practices through the integration of AI technologies. Our strategy revolves around providing free monitoring services via existing dashboards to collect, while monetizing advanced AI services such as machine learning-based land classification and yield estimation.

Key Features:

  • Free Monitoring Services: We offer smallholder farmers access to basic monitoring services free of charge through existing dashboards. This ensures ease of use and accessibility for farmers.
  • AI-Powered Insights: Advanced AI services, including machine learning models for land classification and yield estimation, to be available through the SNET marketplace. These services provide farmers with valuable insights into crop health, resource usage, and potential yields, enabling informed decision-making.
  • Monetization via SingularityNet: The advanced AI services offered are monetized through the SingularityNet marketplace. Farmers can access these services on a pay-per-use and based on the area of their field, ensuring affordability and scalability.

Implementation:

           Our implementation strategy involves integrating the monitoring services with the SNET platform. Data collected through the monitoring dashboards will be utilized to train and optimize AI models, ensuring their effectiveness and relevance to smallholder farmers' needs.

The competition and our USPs

No

What we still need besides budget?

No

Existing resources we will leverage for this project

No

Open Source Licensing

Apache

AI services (New or Existing)

Proposal Video

Leveraging AI and Remote Sensing - Ammar Khairi

13 February 2024
  • Total Milestones

    5

  • Total Budget

    $30,000 USD

  • Last Updated

    19 May 2024

Milestone 1 - API Calls & Hostings

Status
😐 Not Started
Description

This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted.

Deliverables

You can use this amount for payment of API calls on our platform. Use it to call other services or use it as a marketing instrument to have other parties try out your service. Alternatively you can use it to pay for hosting and computing costs.

Budget

$7,500 USD

Link URL

Milestone 2 - Dashboard Interface Development

Status
😀 Completed
Description

Develop an intuitive dashboard interface for users to access monitoring data and AI insights.

Deliverables

User-friendly dashboard with features for data & insights visualization.

Budget

$5,000 USD

Milestone 3 - Data Ingestion and Processing (ETL Pipelines)

Status
😀 Completed
Description

Implement mechanisms to ingest data from users (farmers) and external APIs (Sentinel and weather data). Then Develop systems for processing and storing ingested data efficiently.

Deliverables

Automated data ingestion pipelines data validation processes with Data processing pipelines and storage infrastructure.

Budget

$8,000 USD

Milestone 4 - Machine Learning Models Research & Development

Status
🧐 In Progress
Description

Conduct research and development for machine learning models including land classification and yield estimation.

Deliverables

Trained ML models model optimization processes.

Budget

$6,500 USD

Link URL

Milestone 5 - Integration with SNET

Status
😐 Not Started
Description

Integrate the developed dashboard and AI models with the SNET marketplace for advanced AI services.

Deliverables

Integration with SNET APIs testing and validation.

Budget

$3,000 USD

Link URL

Join the Discussion (9)

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9 Comments
  • 0
    commentator-avatar
    XyrisKenn
    Feb 7, 2024 | 1:06 AM

    Fascinating project, bringing advanced and detailed information to the smallhold farmer. I'm curious, will smallhold farmers be able to access recommendations using phones that are not smartphones? What's the hardware tech requirement for the farmer? Thank you, I am not an expert in this.

    • 0
      commentator-avatar
      Ammar Khairi
      Feb 8, 2024 | 11:46 AM

      A smartphone is a minimum requirement to make use of the solution and considering the importance of phones and access to the internet for farmers (for weather alerts, information pests, etc..) in general; I think this is a reasonable requirement. However, we still try to process as seamless as possible in terms of the required digital literacy to use the technology. We do this by incrementally incorporating users to the system, each step requiring more information and knowledge than the one before it.

  • 1
    commentator-avatar
    seirayun
    Jan 30, 2024 | 10:06 AM

    Hi Ammar, another question: since the service intends to serve smallholder farmers whose digital literacy might be low, what will be the user experience of this service? Do you have any measures to make it easy to use even for people with low digital literacy?

    • 1
      commentator-avatar
      Ammar Khairi
      Jan 30, 2024 | 2:45 PM

      Digital literacy is one of the main obstacles for us indeed. The data we use such farm coordinates, crops grown and the growing cycle, irrigation frequency, etc.. are hard to keep track of in the case traditional agriculture and require some level of digital literacy to upload correctly. So your point makes total sense. We try to address first by lowering the barrier to entry as much as possible. Having just the coordinates of a field we can provide basic monitoring of the growth of the field to get started. Having additional information we can then offer insights and recommendation. Additionally we also aim to simplify the dashboard as much as possible in terms of singing up and using, once user gets start using the system they can upload extra information or reach out for support.

  • 2
    commentator-avatar
    seirayun
    Jan 30, 2024 | 10:04 AM

    Hi Ammar, a great proposal! I love the mission of this project. I believe the important aspect of this proposal is the cost of using your AI service because the end users will be smallholder farmers. How much do they pay to use your service when it becomes available?

    • 0
      commentator-avatar
      Ammar Khairi
      Jan 30, 2024 | 2:33 PM

      Exactly Seriayun , our main focus to offer the services at the lowest price point possible. The thinking now is that we make access to basic monitoring features in the dashboards open. That's because the running cost of these services is small since they do not require much compute or storage. Accessing AI services (crop yield estimation and Land Classification) will then be monetized through the SNET platform. The pricing then will be based on the area field and a very rough estimate would 10£/acre of land for the land classification based on the size of data we will have to pull and the processing to tune the model this new area. Thanks for the interesting comment!

  • 1
    commentator-avatar
    Ammar Khairi
    Jan 29, 2024 | 2:25 PM

    Hi Jan , Thank you for the comment. First I want you to point out that the proposal is far but from complete, but our thinking was to get something out as soon as possible so we can fit in the feedback (just like yours) within the given timeframe. Regarding the onboarding we are in fact planning to onboard our dashboard to SNET platform, we still just not 100% clear on how the details of that, but we will get to it ASAP. Thanks again for your the helpful comments!

    • 0
      commentator-avatar
      Jan Horlings
      Jan 29, 2024 | 7:17 PM

      Thank you Ammar! Looking forward to that, and appreciate your publishing strategy! Note that our AI platform is targeted at AI services (and knowledge graphs). I hope that your dashboard is a good fit for this. Should you decide to onboard some other services: This does open the possibility of monetizing them to third parties that might use them in their solution. And there are no fees to SingularityNET related to this. Cheers!

  • 0
    commentator-avatar
    Jan Horlings
    Jan 29, 2024 | 1:53 PM

    Hi Ammar, I noticed that you are not planning to onboard any of your services to our AI platform, nor use any service already available on the platform. This is a requirement of our 'New Projects' pool. Without this, you will not be eligible for a reward. Would it be possible and feasible for you to onboard the underlying AI-services to the decentralized AI platform? (We are aware that this is not yet properly addressed in the proposal form by means of a warning or such, and hope we can improve on that before DFR4)

Expert Review

Overall

5

user-icon
  • Feasibility 4
  • Viability 5
  • Desirabilty 5
  • Usefulness 5
Great project with a good technical fit

This is a great project that promises to add to SNET services list, and also add a dashboard that will contribute to the sum total of knowledge graphs. It seems to be well thought out, considering the relatively short prep time for this round.

Feasibility is high, since the team leader has an active project from DF3, and has completed three of five milestones in that project. Moreover, the milestones for this project seem to be achievable.

Viability is high, since this project is likely to add a new service to the SNET plethora, as well as contribute to knowledge graphs with their dashboard.

Desirability is very high, since it addresses a crucial need – that of helping farmers maximize their yield by utilizing cutting-edge AI tools. This could generate a lot of interest as well as revenue. Strongly recommend this project.

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3 ratings
  • 1
    user-icon
    HenriqC
    Feb 11, 2024 | 5:59 PM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 5
    • Usefulness 4
    Critically important service with high potential

    Feasibility:

    Different components from imaging to AI processing have indeed become to the point where real value from this kind of service is sufficiently attainable. Blockchain evolution further expands the value extraction opportunities and lower the adoption threshold. I also expect the technology to improve in the near future so that increasingly more detailed analysis becomes possible. 

     

    Viability:

    Enigma has already created some recognizability in the community and, to me, their capacity to work on this project looks sufficient. The team has presented the people responsible for the execution and the budget has no complaints. I expect them to deliver the service as described but I just want to note that keeping the service constantly competitive in the space of rapidly evolving several technological components is not self-evident.

     

    Desirability:

    Reliable uncorrupted food production is one of the backbones of any society and smallholder farmers play the largest possible role in the process. Satellite images are a great competition equalizer and definitely a very desirable technology to be utilized. The service is applicable globally and openly available infrastructure enables anyone to build on top of it. 

     

    Usefulness:

    The space is full of projects that aim to empower smallholder farmers with intelligent trustless technologies and this endeavor synergizes greatly with many of them. When the service stack and user experience hit the mark there should not be blockers to large scale adoption. I’m not sure how soon that could be expected to happen so I put the potential of this project into the mid to long term category. 

     

  • 1
    user-icon
    seirayun
    Feb 11, 2024 | 4:43 PM

    Overall

    5

    • Feasibility 4
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    Amazing project with tangigle social impact

    By using satellite imagery and advanced computer vision algorithms, this platform offers a promising method to improve agricultural productivity and sustainability at the grassroots level.

    Desirability and usefulness: The service's key features—field mapping, crop health monitoring, and actionable recommendations—are designed for smallholder farmers. Satellite imagery provides precise and timely information about land use, aiding in planning and resource allocation. Crop health monitoring detects issues early, allowing for preventative measures. These are useful and desirable features that help smallholder farmers.

    Feasibility and viability: There are several challenges to consider. Firstly, the accuracy and timeliness of satellite data are crucial for providing reliable insights. Factors like cloud cover, data resolution, and update frequency can affect the usefulness of the information provided. Secondly, it is important to ensure that the platform remains accessible and affordable for smallholder farmers to encourage widespread adoption.

  • 1
    user-icon
    Rafiatu07
    Feb 11, 2024 | 12:25 PM

    Overall

    4

    • Feasibility 3
    • Viability 3
    • Desirabilty 4
    • Usefulness 5
    A great solution to advance precision agriculture

    Desirability

    The proposal addresses an important need in the agricultural sector by providing AI-based monitoring and insights to smallholder farmers. Through the use of satellite imagery and computer vision, the project intends to advance precision agriculture by democratizing it while optimizing resource use and promoting sustainable practices. The project concentrating on empowering smallholders is thus in line with society and environmental targets, hence the desirability of the project within the AI community.

    The proposal clearly articulates the objective of the project, the target audience, and the value that the project offers. The combining of AI technologies with existing monitoring dashboards and the SingularityNet marketplace shows a strategic mindset and scalability. Furthermore, the goal of the project to achieve sustainability and food production is congruent with the broader global problems, which makes it desirable and relevant.

     

    Feasibility

    The feasibility of the project is strong since the plan is clear, the milestones are achievable, and the budget is well allocated. The project is realized in the form of five milestones that concentrate on a particular element: the development of the dashboard interface, data ingestion and processing, machine learning model research and development, and integration with the SingularityNet marketplace.

    The proposal has clearly defined deliverables for each milestone, which can ensure progress monitoring. Furthermore, the project team is seen to have the required skills and knowledge to execute the project well, thereby making the implementation a reality.

    However, there might be some challenges occurring in the integration stage, including data interoperability issues and model optimization difficulties. Navigating through these problems will require reliable technical abilities and consistent partnering among teammates.

     

    Viability

    From a viability viewpoint, the project marries SingularityNet's vision to democratize AI and promote sustainability initiatives. This project targets connecting smallholder farmers to AI-based recommendations and analysis, thus resulting in enhanced resource efficiency, productivity, and environmental sustainability.

    The concept aims at revealing a potential corporate success in view of the realization of money as a result of making SingularityNet a marketplace by means of advanced AI services monetized. This method ensures efficiency, so affordability gives small-scale farmers a chance to become millionaires and a source of market.

    Nevertheless, success could be dependent on such elements as user acceptance, market demand, and regulatory considerations. Sustaining the relevance and impact of the project with the involvement of the stakeholders will be crucial over time.

     

    Usefulness

    In my view, the project is very beneficial, as it deals with pressing problems in agriculture and ensures environmentally friendly practices. With the use of AI-based monitoring and insights, the project aims to create an environment that allows the farmers to make informed decisions, optimize resource use, and increase productivity.

    The approach of the proposal to democratize precision agriculture and enhance sustainability aligns with the mission and values of SingularityNet. Furthermore, the integration of AI technologies with the existing monitoring dashboards and the SingularityNet marketplace greatly increases the usefulness and impact of the project within the agriculture sector.

    Even though the usefulness of the project is obvious, continuous development and implementation will be required to enable the project to adapt to the changing needs of smallholder farmers and remain a treasure for the AI community.

     

     

Summary

Overall Community

4.7

from 3 reviews
  • 5
    2
  • 4
    1
  • 3
    0
  • 2
    0
  • 1
    0

Feasibility

4

from 3 reviews

Viability

4

from 3 reviews

Desirabilty

4.7

from 3 reviews

Usefulness

4.7

from 3 reviews