QUANTIFYING BIOTIC DAMAGE ON PLANT LEAVES, BY CONVOLUTIONAL NEURAL NETWORKS

To quantify biotic damage in leaves of crop plants, a computer receives (701A) a leaf-image taken from a particular crop plant. The leaf-image shows at least one of the leaves of the particular crop plant. Using a first convolutional neural network (CNN, 262), the computer processes the leaf-image t...

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Bibliographic Details
Main Authors KLUKAS, Christian, ECHAZARRA HUGUET, Jone, EGGERS, Till, BERECIARTUA-PEREZ, Aranzazu, PICON RUIZ, Artzai, NAVARRA-MESTRE, Ramon, SPANGLER, Corinna Maria
Format Patent
LanguageEnglish
French
German
Published 25.01.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:To quantify biotic damage in leaves of crop plants, a computer receives (701A) a leaf-image taken from a particular crop plant. The leaf-image shows at least one of the leaves of the particular crop plant. Using a first convolutional neural network (CNN, 262), the computer processes the leaf-image to derive a segmented leaf-image (422) being a contiguous set of pixels that show a main leaf of the particular plant completely. The first CNN has been trained by a plurality of leaf-annotated leaf-images (601A), wherein the leaf-images are annotated to identify main leaves (461). Using a second CNN (272), the computer processes the single-leaf-image by regression to obtain a damage degree (432).
Bibliography:Application Number: EP20210711260