Actionable insights from agricultural drone imagery
Plant counts are an essential part of precision agriculture’s expanding dataset. But the traditional error-prone row plant estimates are an unreliable relic. Transform small-scale sampling into an accurate full-field inventory with drone plant counts.
How high to fly a drone for agricultural field mapping is a common question among pilots. Since drone altitude impacts the resulting stitched image quality (and metrics available), getting it right can improve your crop datasets and reduce data losses or the need for reflights.
Breeding new vegetable varieties can take between 6-16 years of rigorous evaluation before a package of traits is expressed stably enough for commercial release. To expedite their breeding pipeline, Rijk Zwaan adopted drone imagery to assist in characterizing phenotypes of promising breeding lines and to document their volumes of vegetable trials.
5 Critical data quality factors to consider when choosing a drone imagery processing platform for multispectral data from MicaSense sensors.
The Danish Technological Institute uses Solvi’s multispectral drone image-stitching and data processing in their agricultural research analytics to evaluate volumes of field data fast.
Learn how to streamline the process of creating research plot boundaries with a simple user interface to visually create plot boundaries, quickly render statistics, and export results.
Case study on how sugar beet researchers are improving trial data confidence with drone analytics
A mango grower decreased hydric tree stress by 18% during critical fruiting stages while reducing overall water consumption 50% by establishing unique management zones from Solvi's drone analytics.
Specialty vegetable crops like cabbage, broccoli, and salad greens are a high-risk, potentially high-reward, business that demands intensive management to be successful. The Food and Agriculture Organization (FAO) of the United Nations estimates that about 20% of fruit and…
Crop stand establishment directly affects yield. But often we don’t know what this season’s or any field’s limiting factor is.
Solvi Plant Counts now powered by Plant AI™ converts plant-level drone data into actionable crop insights in minutes.
Drones are an effective crop scouting tool for vegetable and grain farmers to assess plant health and guide management decisions to improve crop performance.
To make field scouting more efficient and less physically demanding, we are introducing Solvi Scout — a new way for growers to monitor and get advice on crops remotely.
Weighing green biomass and scanning the field with a drone is a simple, fast, and cheap way to optimize nitrogen application for winter oilseed crops.
Learn how using drone imagery to map variations in crop establishment can help create variable rate seeding files for the following seasons.
Nitrogen application is one of the key actions that growers take to ensure stable crop development. Learn how drone imagery can help create prescription files to ensure the right amount of fertilizer is applied in the right place.
Support for the all-new MicaSense Altum multispectral sensor, including new thermal data visualization, has landed in Solvi!
We are excited to announce Zonal Statistics and Trial Plot extraction tools for more effective plant phenotyping, breeding, and research.
A big release of updates ahead of the new growing season, including Plant Counts, Elevation Maps, and Prescription files.
