Since its inception, Agerpoint has made use of very expensive LIDAR sensors, employing thousands of laser beams to create a 3D representation and a digital twin of the plant, environment or object of focus. The firm then uses data engineering and models to extract information from the sensors. However, recent technology developments allow sensor stacks in Android and Apple products to operate on a par with earlier-generation LIDAR sensors costing $100,000, with the LIDAR sensors in today’s smartphones able to be used to build AR and projected reality AR. Banking on this technology breakthrough, Agerpoint launched a mobile app named Capture, which farmers can use to capture field data as an image. The app then runs ML algorithms on the images, offering farmers readily accessible and accurate agronomic insights and information they would not have had even two years ago. These images are also analysed to detect the presence of disease, identify species and provide morphological indicators that diagnose the health of crops and pinpoint fruit types to predict yield. The app algorithms count the fruit clusters and model how much volume each cluster will give. The key steps in the analysis of this cloud ecosystem are: 1 Create a digital twin of a plant in 3D 2 Extract accurate physical and spectral plant measurements 3 Collate data from multiple sources, such as drones, field observations, etc. 4 Create and deploy automated scalable models with end-to-end ML platforms 5 Organize, manage and share insights and visualizations for sectors such as supply-chain management, research-and-development regulators, sustainability/net zero organizations, marketers and farm growers CASE STUDY 1 Agerpoint Data analytics, 2D/3D modelling and ML primarily use the following metrics: Plant height Canopy diameter Canopy density Canopy volume Canopy outline Trunk diameter BiomassPlant health Disease presence Fruit count Fruit size/volume Yield estimate Carbon score Geolocation Source: Stakeholder interaction: https://www. agerpoint.com/ Agritech: Shaping Agriculture in Emerging Economies, Today and Tomorrow 11

Agritech 2024