This new article associated to NordPlant identifies late blight lesions in field RGB images with the help of deep convolutional neural networks. The article is published in Knowledge-Based Systems: Junfeng Gao, Jesper Cairo Westergaard, Ea Hoegh Riis Sundmark, Merethe Bagge,…
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In a new publication, Emina Mulaosmanovic and co-authors describe the use of phenotyping technologies to detect post-harvest damage on leaves. Plants are exposed to factors which cause tissue damage, like environmental stress (abiotic), herbivores (biotic), and mechanical injury from agricultural…
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Artificial intelligence (AI) in agriculture is a rapidly developing field in the Nordic countries, with many private actors. As a part of our work to facilitate and increase collaboration between universities and companies in fields related to NordPlant’s activities, we…
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High-throughput field phenotyping has garnered major attention in recent years leading to the development of several new protocols for recording various plant traits of interest. Phenotyping of plants for breeding and for precision agriculture have different requirements due to different…
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