Cloud Agronomics’ hyperspectral analysis enables TerrAvion’s customers to go beyond NDVI to determine why their plants are stressed and what to do about it.
Cloud Agronomics is TerrAvion’s latest partner offering next-generation agricultural insights on crop performance, crop yields, pricing, and other critical agrarian business decisions.
TerrAvion’s imagery program provides a platform strategically located across the United States for Cloud Agronomics’ hyperspectral systems and advanced data analytics. Together the two companies aim to provide hyperspectral-based analytical solutions at scale.
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Cloud Agronomics offers a full suite of analytical capabilities to customers throughout the agricultural industry. Cloud Agronomics’ hyperspectral analysis enables TerrAvion’s current customers to go beyond NDVI to determine why their plants are stressed and what to do about it.
Cloud Agronomics has developed NPK nutrient quantification and early disease detection analytics layers for corn and soybeans for the 2020 agricultural growing season. Furthermore, Cloud Agronomics and TerrAvion offer three types of services to meet the different analytical needs that customers have:
“Cloud Agronomics’ insightful hyperspectral analytics, combined with TerrAvion’s reliable data collection, will bring the agricultural sector into the next level of accessible information that can improve agriculture in many ways,” sais Robert Morris, Founder and CEO TerrAvion. ‘“We are elated to partner with Cloud Agronomics to help enable our customers with critical insights needed to promote sustainable farming, fight crop diseases, and optimise yields.”
“We are excited to partner with TerrAvion, the largest provider of aerial image data to agriculture”, says Jack Roswell, Co-founder, and COO of Cloud Agronomics. “This partnership enables Cloud Agronomics to deliver our analytic insights to a much larger customer base in the United States, and beyond, in years to come enabling growers and ag businesses to improve their business operations efficiently.”