{
  "api": "assay-systems/v1",
  "key_tier": "none",
  "retrieved": "2026-10-16T07:44:39Z",
  "source": "Assay Systems register, https://assay-systems.com/register/",
  "access_notice": "On 15 November 2026, automated access to assay-systems.com closes. After that date, access is available only under a paid annual subscription contract. Contact: contact@assay-systems.com",
  "data": {
    "id": "ASY-CA-1QUYRV30CZ",
    "type": "grant",
    "country": "ca",
    "name": "Ground Truth Agriculture Inc.: federal grants and contributions",
    "url": "https://assay-systems.com/register/ca/grants/r/ground-truth-agriculture-inc/",
    "summary": "8 federal grant and contribution agreements worth $3.2M with Ground Truth Agriculture Inc., 2022–2025.",
    "figures": [
      {
        "label": "agreements",
        "value": 8,
        "unit": "count"
      },
      {
        "label": "value",
        "value": 3200000,
        "unit": "money",
        "currency": "CAD",
        "approximate": true,
        "display": "$3.2M"
      },
      {
        "label": "departments",
        "value": 3,
        "unit": "count"
      },
      {
        "label": "programs",
        "value": 4,
        "unit": "count"
      }
    ],
    "text": [
      "This project aims to develop an advance grain quality assessment system integrating machine vision and near-infrared technology to accurately evaluate visual and non-visual attributes of key crops like CWRS, CWAD, lentils, peas, barley and potentially canola. These quality assessments will be geo-located and mapped in real time to provide quality level insight into field performance. these quality maps can then be used, along with other field level assessments, to optimize crop input use.",
      "Commercialization of Artificial Intelligence for Grain Grading and Quality Assessment",
      "Structuring of AI systems to expand models for broader customer base and scale.",
      "Development of grain quality assessment equipment for use in grain handling facilities",
      "Develop prototype hardware for the determination of select grain characteristics",
      "The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution. Testing the potential and limitations of grain characteristics models accuracy where NIR assessment is required through the use of different AI strategies.",
      "The project would be to hire the youth Software Engineer to work on frontend software development requirements for the system.",
      "Determination of NIR spectroscopy collection processes and data analysis for grain characteristic calibration model creation."
    ],
    "records": [
      {
        "name": "grants and contributions register",
        "url": "https://assay-systems.com/register/ca/grants/"
      },
      {
        "name": "Regina–Qu'Appelle",
        "url": "https://assay-systems.com/register/ca/grants/riding/47008-regina-quappelle/"
      },
      {
        "name": "Agriculture and Agri-Food Canada",
        "url": "https://assay-systems.com/register/ca/grants/department/agriculture-and-agri-food-canada/"
      },
      {
        "name": "Prairies Economic Development Canada",
        "url": "https://assay-systems.com/register/ca/grants/department/prairies-economic-development-canada/"
      },
      {
        "name": "Regina-Qu'Appelle",
        "url": "https://assay-systems.com/register/ca/grants/riding/08-regina-quappelle/"
      },
      {
        "name": "National Research Council Canada",
        "url": "https://assay-systems.com/register/ca/grants/department/national-research-council-canada/"
      }
    ],
    "assay_record": "ASY-CA-1QUYRV30CZ",
    "cite_as": "Assay Systems, \"Ground Truth Agriculture Inc.: federal grants and contributions\", https://assay-systems.com/register/ca/grants/r/ground-truth-agriculture-inc/"
  }
}