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Potential of VIS-NIR spectroscopy to characterize and discriminate topsoils of different soil types in the Triffa plain (Morocco)

Autor: Abdelilah Monir, Daouda Kouotou, Kamal Elhammouti, Hamid Mahyou, Ayoub Lazaar, Karim Andich, Muhammad Bilal, Jean Michel Roger, Asa Gholizadeh

Publikováno v: Soil Science Annual
Soil Science Annual, 2019, 70 (1), pp.54-63. ⟨10.2478/ssa-2019-0007⟩
Soil Science Annual, Vol 70, Iss 1, Pp 54-63 (2019)

This study aims to identify the influence of soil organic matter (OM) content and calcium carbonates (CaCO3) on soil reflectance and select the optimum spectral bands for discriminating between topsoils of different soil types situated in the irrigat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8d6df87ad9129592dc5783fe45630e7
https://hal.archives-ouvertes.fr/hal-02373079

Statistics-based segmentation using a continuous-scale naive Bayes approach

Autor: Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, Morten Stigaard Laursen, Norbert Krüger

Publikováno v: Stigaard Laursen, M, Midtiby, H & Krüger, N 2014, ' Statistics-Based Segmentation Using a Continuous-Scale Naive Bayes Approach ', Computers and Electronics in Agriculture, vol. 109C, pp. 271-277 . https://doi.org/10.1016/j.compag.2014.10.009
Laursen, M S, Midtiby, H S, Kruger, N & Jorgensen, R N 2014, ' Statistics-based segmentation using a continuous-scale naive Bayes approach ', Computers and Electronics in Agriculture, vol. 109, pp. 271-277 . https://doi.org/10.1016/j.compag.2014.10.009

Naive Bayes classifier was implemented for combination of domain color features.Combined color features proved significantly better than individual color features.Significance was determined with 95% confidence by t-test on cross-validated data.The d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d2613b8d8943fbeed7c684ccc613cd
https://doi.org/10.1016/j.compag.2014.10.009

In-field crop row stereo-reconstruction for plant phenotyping

Autor: Jay, S., Rabatel, G., Gorretta, N.

Publikováno v: Second International Conference on Robotics and associated High-Technologies and Equipment for Agriculture and forestry (RHEA-2014)
Second International Conference on Robotics and associated High-Technologies and Equipment for Agriculture and forestry (RHEA-2014), May 2014, Madrid, Spain. 10 p

International audience; This article presents a methodology for crop row structure characterization developed for phenotyping purpose. It is based on 3D modeling performed using Structure from Motion. The model provides an accurate crop row reconstru

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::33f996909136e9155b471027b81b277f
https://hal.archives-ouvertes.fr/hal-01012196

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