- September 19, 2022
- Posted by: EARSC
- Category: Members News
AUTOMATED PLANT AND GAP COUNT TO SUPPORT SEED BREEDING
A story by Nick Gutkin
Seed breeding trials are hard work. Companies engaged in seed breeding trials put a lot of money and effort into maintaining and monitoring experimental plots in the pursuit of varieties that will ultimately provide the highest yield. Successful seed breeding requires specific knowledge, a lot of money and effort, and even more flexibility keeping in mind the environmental conditions which only multiplies the potential outcome.
By using drone-based imaging technologies, seed breeding companies can automate various processes and improve their efficiency in data gathering, processing and analytics. Discover how we use our MAPEO platform to automate and simplify repetitive and costly tasks. This will help seed breeders not only to save time and money, but also obtain more accurate data to support their search for more sustainable crop varieties.
IN PURSUIT OF THE BEST SEEDS
With the rapid advance of drone-based imaging technologies, seed breeding companies get the ability to automate various manual processes. Gathering accurate and extensive data always remains very important to maximize the success of experimental field trials, but it is also often limited by both costs and the availability of trained field workers. But what if we improve data gathering, processing and analysis with less effort and costs? Via MAPEO, our a modular and customer-centric remote sensing platform, we provide seed breeders automated workflows which allow them to automate and simplify repetitive and costly tasks such as counting plants and identifying gaps in field trials. This innovative drone-based phenotyping solution will help seed breeders not only save time and money, but also obtain more accurate data to support their search for more sustainable crop varieties.
Through an ongoing partnership with seed breeding company SESVanderHave and thanks to the Sense of Field project funded by VLAIO, we’ve developed a workflow which not only counts crop gaps, but also analyses the gaps in surrounding crop rows to automatically generate statistics.
Read more at https://blog.vito.be/remotesensing/mapeo-plantcount