Vancouver based EarthDaily, a global Earth observation and analytics company, has outlined plans to launch nine satellites this year and in early 2027, strengthening its data infrastructure for agriculture markets worldwide. As per The Business Line, one satellite is already in orbit following a June 2025 launch, marking the start of a proprietary constellation that will support daily imaging of Earth’s landmass.
The upcoming satellites are designed to collect visual, infrared, shortwave infrared, and thermal data on a single platform. According to the company, this combined spectral coverage will allow continuous monitoring of crop conditions and environmental variables, enabling daily observations rather than periodic snapshots. The imagery will be collected automatically and used to generate alerts related to water availability, moisture levels, and crop stress.
Daily imaging to extend analytics to smallholder regions
With the new constellation, EarthDaily aims to provide markets such as India, Africa, and Asia-Pacific, regions characterised by smaller landholdings, with the same level of insight currently delivered to North America and Europe. The company has spent the past three decades relying on a mix of public and commercial satellites for long term environmental intelligence, but is now transitioning to its own space based assets to power its software and analytics platform directly.
EarthDaily operates as a software and data analytics company, using satellite observations to support agricultural decision making. The organisation says the expanded data pipeline will contribute to reduced chemical use and improved field level outcomes by enabling more precise interventions based on real-time conditions.
AI and machine learning to interpret field level changes
The satellite programme is being integrated with artificial intelligence and machine learning systems to analyse unfolding agricultural events. While earlier approaches depended on static algorithms, the company says newer AI driven models will allow more dynamic pattern recognition across larger datasets, improving the ability to connect environmental signals with on ground outcomes.
These tools are expected to help identify where inputs such as crop protection should be deployed, which fields are performing well, and which areas require attention. The same datasets are also being used by agronomists, retailers, commodity firms, insurance providers, and finance companies to assess their portfolios from a unified perspective.
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Using global datasets to respond to climate shifts
EarthDaily positions its data products as a resource for understanding how climate change is reshaping cropping patterns and management practices. The company cites changes in crop distribution, such as increased corn cultivation in parts of Canada traditionally associated with wheat and canola, as an example of how growers can draw on datasets from established production regions, including the US corn belt, to adapt practices in emerging areas. This approach, the company says, allows best practices observed in one geography to be applied elsewhere as climates evolve.
While climate information is abundant, EarthDaily notes that businesses are increasingly seeking clearer signals amid competing narratives. The company’s datasets are intended to support evidence based decisions around what crops to grow, how to manage them, and how to deliver produce to consumers, including considerations linked to regenerative agriculture.
Global coverage with expansion planned across the equatorial belt
Founded in France, EarthDaily provides services across Asia, the Pacific, Africa, and much of the equatorial belt. In Brazil, the company currently captures up to 24 images during the rainy season, a figure expected to rise once the full satellite constellation is operational.
For India and similar markets, EarthDaily plans to work through cooperatives and partnerships to improve accessibility and affordability for farmers. The company believes that combining its own datasets with external sources will further strengthen AI and machine learning applications, enabling more comprehensive assessments of global agricultural conditions.
By analysing factors that influence crop health, EarthDaily says it helps direct resources to where they can be most effectively allocated, whether that involves identifying high performing fields, pinpointing underperforming areas, or guiding investment in crop protection. Through this integrated data approach, the company is extending its analytics framework across farming operations as well as into agronomy, retail, commodities, insurance, and agricultural finance, using the same measurement base to support decision making across the value chain.