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Autonomous Crop and Weed Monitoring API

This platform and information system uses machine vision to identify and monitor crop and weed species based on active shape models. It includes a database of weed images and equipment for image acquisition.

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Autonomous Crop and Weed Monitoring API

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  1. Autonomous platform and information system (API) for crop and weed monitoringhttp://www.cs.auc.dk/~api/

  2. 2001 version

  3. Machine vision identification of weed species based on active shape models Henning T. Søgård DIAS, Dept. of Engineering Torben Heisel DIAS, Dept. of Crop Protection

  4. Database of weed imagesEquipment for image acquisition Colour bar Canon Powershot G1 Digital Camera, (2048 x 1536 pixels)

  5. 150 mm 200 mm Database of weed images Image scenes > 500 images

  6. # 070601_010_CHEAL_0467_1004.tif Database of weed imagesIndividual weed plants 070601_010.tif About 500 image of individual plants (24 species)

  7. Identification of weed speciesTraining the software (ASM-Toolkit) (ASM = Active Shape Model) CHEAL White Goosefoot Chenopodium Album)

  8. Isolated patches

  9. Sampling Diffuse patches

  10. Initial sampling route

  11. Initial sampling route

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