Use Case: Field Mapping and Quality Check

Problem & Solution

MNCs in the agriculture sector need to manage data on many diverse fields across different geographies and need accurate field mapping to optimise their operations. Still, traditional mapping methods are time-consuming, costly and error-prone.

Our Agritech SaaS platform provides accurate field mapping with quality checks to ensure MNCs can manage their crops with precision and efficiency.

Accurate Field Mapping and Cross-Referenced Quality Checks for MNCs importing deforestation-free soy, beef, palm oil, wood, cocoa and coffee

Meet Aka, a sustainability manager at a global cocoa-sourcing MNC in Ivory Coast. Aka oversees multiple fields across multiple geographies. His role requires him to get farmer details mapped to match CLMRS standards and apply quota restrictions to the fields and farmer groups. Doing so leads to certification program compliance. One must accurately map the fields to the respective farmers with correctly linked cropping cycles and harvest purchase scenarios. Such activity is pain point number one of traditional mapping methods as it’s time-consuming, costly, and error-prone.

Aka’s company recently subscribed to the Farmforce platform. He can now easily map fields using customised field mapping technology and efficient quality checks. The unique feature distinguishing Farmforce’s offering from other cartographic analytics platforms is the ability to combine online polygon mapping with offline on-ground verification via the mobile app. The platform uses satellite imagery and web and mobile-based tools to ensure up-to-date and accurate mapping. 

Our platform includes “quality checks” to ensure reliable data. With a combination of predefined and automatic quality checks (and optional manual checks) by the web manager- after the field user uploads polygons.

Key Features:

  1. Ability to bulk import polygon data to fields and set a precondition for the platform to check:
    • Any overlap of newly created polygons. Farmforce allows users to report inaccuracies, which we continuously use to improve mapping algorithms.
    • If the newly created polygons lie within a pre-determined geographical area.
  2. Allows web-based and field users to upload polygons and create farms and fields, and link them to farmer groups.
  3. Ability to approve (or reject) polygons post-data gathering and automated Quality Checks. 
  4. It creates dashboards and reports that give the user real-time visibility into operations, enabling data-driven decisions and performance improvements.

Such dashboards and reports give real-time visibility into operations, enabling data-driven decisions and performance improvements. Map fields confidently, optimise company operations and maximise yields, including collaboration across teams and stakeholders in real time.

Why Does It Matter?

  • Ensure Compliance: Companies increasingly face regulations that require them to demonstrate their supply chains are deforestation-free. Accurate field mapping data with “Quality Checks” allows companies to comply with deforestation-free product regulations with accurate data and tangible evidence of sustainable sourcing practices.
  • Mitigate Risks: Inaccurate mapping data can result in companies sourcing from areas not approved for production, leading to legal and reputational risks. “Quality Checks” ensure the mapping data is accurate and up-to-date, reducing the risk of unknowingly sourcing from deforested areas.
  • Improve Transparency: Accurate field mapping data with quality checks can help companies to be more transparent about their supply chains, demonstrating their commitment to deforestation-free sourcing to consumers, investors, and other stakeholders.
  • Facilitate Collaboration: Accurate field mapping data with quality checks can facilitate collaboration between companies and suppliers to promote sustainable practices. By providing reliable data, companies can work with suppliers to develop and implement sustainable sourcing practices and promote transparency and accountability.

Easier Compliance with Market Requirements

  • Improve Farm Management: Accurately mapped fields are QC checked to provide a reliable starting point to initiate harvest and purchase activity accurately.
  • Traceability and Transparency: Track crops from farm to shipment. Visibility improves crop yield and quality, reduces fraud, and increases consumer trust. Find brand protection inherent in such traceability.
  • Data-Driven Decision-Making: Real-time data on their crops and operations, enabling informed decisions that optimise operations and increase profitability.

Looking Forward

We are so enthusiastic about our Integrated Enterprise Deforestation Monitoring that we will provide you with three use cases, dissecting and engaging in ways to use our solutions at scale and in detail.

In these use cases, we’ll discuss how users can effectively control their exports to different geographies while adhering to various compliance mechanisms via quota control. Next, we’ll show examples of warehoused data that can be used to generate custom due diligence reports.

For further insights towards EU regulations towards deforestation-prone crops and products and further elaborations towards “Countdown to Compliance”, please read further here.