Business partners with experience in agriculture and computer programming are behind the software start-up Solvi, whose first product is a data processing tool for imagery collected by drones.
Ease of use and fast processing were key targets of the design, says Igor Tihonov, founder of the the Gothenburg, Sweden-based company.
The cloud-based service processes data collected by drone-mounted sensors to create colour maps highlighting differences in crops that can be investigated by the grower or agronomist.
Data from most sensors can be processed, says Solvi, both RGB and multi-spectral, and there is no limit to the number of uploads or amount of data processed, nor the resolution, which the company says will always be the highest available, whether the user wants a high-level overview or a close-up to detect weeds and individual plants.
Basic vegetative indices such as NVDI (normalised difference vegetation index) and VARI (visible atmospherically resistant index) can be used to visualise differences caused by factors such as plant stress and water damage, and Solvi users can also create their own indices for more advanced analysis.
Once variable rate treatments have been chosen as a course of action, prescription files can be created using the flexible zone management feature of the software, with compatibility said to include most sprayer and spreader variable-rate application systems.
|Type:||Cloud-based imaging data processing|
|Key feature:||Fast processing and ease of use|
Users can choose to share data with selected partners and PDF reports can be produced for effective communication and data sharing on farm. Access to Solvi is charged on a flat-rate basis, either monthly or annually, and with a multiple enterprise option for agronomists.