"Phenotyping allows the plant breeders to more accurately select certain traits, speeding the breeding process up so that selected varieties can be made available to the farmer sooner."
"You can actually train models to find things like wheat heads or canola flowers and count them so you can get an idea of... a metric, a phenotype. That wasn't available to plant breeders before."
"Advances in AI and better cameras now allow researchers to analyze specific objects within those plots, making research easier and more effective."
"Looking ahead, Shirtliffe is interested in exploring how drone phenotyping could improve the data needed to determine where variable-rate fertilizer applications may be most effective."
Drones equipped with advanced cameras and AI analytics are enhancing crop development and phenotyping. Dr. Steve Shirtliffe has utilized this technology since 2014 to address challenges in agriculture. The technology enables precise measurement of plant traits, accelerating the breeding process. Techniques like deep learning allow for counting specific plant organs, providing metrics previously unavailable. Improved drone capabilities facilitate detailed analysis of specific objects in fields. Future research aims to optimize variable-rate fertilizer applications and manage nitrous oxide emissions effectively.
Read at Realagriculture
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