This startup provides high-resolution aerial imaging and data analytics to optimize crop management for agricultural producers. Their services offer insights into crop uniformity, irrigation, harvest planning, and disease mapping through advanced hyperspectral imaging.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Vineyard managers often lack comprehensive, real-time data on crop health, leading to inefficient resource allocation and delayed responses to critical issues like disease outbreaks or irrigation problems. Traditional methods of crop monitoring are time-consuming, labor-intensive, and may not provide the detailed insights needed for optimal decision-making.
Solution
VineView provides agricultural producers with high-resolution aerial imagery and data analytics to optimize crop management and improve decision-making. Using specialized aerial-based spectral sensors and a cloud-based image processing service, VineView delivers timely information on crop uniformity, irrigation management, harvest planning, and disease mapping. Their technology accounts for vineyard complexities, including row orientation, cover crop, and atmospheric conditions, providing accurate and reliable data insights. The platform enables more responsive crop management, reduced costs, decreased inputs, and minimizes the environmental impact of agricultural operations while improving crop quality and yields.
Target Audience
VineView primarily serves vineyard managers and agricultural operators seeking to improve crop quality, optimize resource allocation, and make data-driven decisions.
Features
- Ultra-high resolution aerial imagery for detailed vineyard analysis
- Scientifically calibrated vine vigor maps, including PureVine™ EVI, PureVine™ Zones, Canopy Gaps, and Canopy Width
- RedLeaf Scouting package for early identification of symptomatic vines and disease detection
- Thermal imagery for non-invasive spatial detection of heat differences and irrigation issues
- Crop Coefficient data layer for block-by-block assessment of irrigation needs
- Smart Sampling tool for creating and collecting sampling strategies, optimizing sample locations and reducing sampling time
- Mobile app for easy data collection and tracking in the field
- Historical data access for identifying trends and making informed decisions