Parcourir par Mots clés libres

Multivariate regional deep learning prediction of soil properties from near-infrared, mid-infrared and their combined spectra. Nyawasha Rumbidzai, Wadoux Alexandre M. J. C., Todoroff Pierre, Chikowo Régis, Falconnier Gatien, Lagorsse Maeva, Corbeels Marc, Cardinael Rémi. 2024. Geoderma Regional, 37:e00805, 11 p.

Evaluation of a combination of NIR micro-spectrometers to predict chemical properties of sugarcane forage using a multi-block approach. Ryckewaert Philippe, Chaix Gilles, Héran Daphné, Zgouz Abdallah, Bendoula Ryad. 2022. Biosystems Engineering, 217 : 18-25.

Interest of phenomic prediction as an alternative to genomic prediction in grapevine. Brault Charlotte, Lazerges Juliette, Doligez Agnès, Thomas Miguel, Ecarnot Martin, Roumet Pierre, Bertrand Yves, Berger Gilles, Pons Thierry, François Pierre, Le Cunff Loïc, This Patrice, Segura Vincent. 2022. Plant Methods, 18 (1):108, 13 p.

Study differentiating fish oocyte developmental stages using bioimpedance spectroscopy. Detrez Eloîse, Kerzérho Vincent, Belhaj Mohamed-Moez, Vergnet Alain, De Verdal Hugues, Rouyer Tristan, Bonhommeau Sylvain, Lamlih Achraf, Julien Mohan, Ben Ali Fathi, Renovell Michel, Bernard Serge, Soulier Fabien. 2022. Aquaculture, 547:737396, 7 p.

Comparison of soil organic carbon stocks predicted using visible and near infrared reflectance (VNIR) spectra acquired in situ vs. on sieved dried samples: Synthesis of different studies. Cambou Aurélie, Allory Victor, Cardinael Rémi, Carvalho Vieira Lola, Barthès Bernard. 2021. Soil Security, 5:100024, 15 p.

Multi-block classification of chocolate and cocoa samples into sensory poles. Biancolillo Alessandra, Preys Sébastien, Gaci Belal, Le Quéré Jean-Luc, Labouré Hélène, Deuscher Zoé, Cheynier Véronique, Sommerer Nicolas, Fayeulle Noémie, Costet Pierre, Hue Clotilde, Boulanger Renaud, Alary Karine, Lebrun Marc, Lahon Marie-Christine, Morel Gilles, Maraval Isabelle, Davrieux Fabrice, Roger Jean-Michel. 2021. Food Chemistry, 340:127904, 9 p.

PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents. Feret Jean Baptiste, Berger Katja, De Boissieu Florian, Malenovský Zbyněk. 2021. Remote Sensing of Environment, 252:112173, 15 p.

Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing. Grinand Clovis, Le Maire Guerric, Vieilledent Ghislain, Razakamanarivo Ramarson Herintsitohaina, Razafimbelo-Andriamifidy Tantely, Bernoux Martial. 2017. International Journal of Applied Earth Observation and Geoinformation, 54 : 1-14.

Prediction of soil organic carbon stock using visible and near infrared reflectance spectroscopy (VNIRS) in the field. Cambou Aurélie, Cardinael Rémi, Kouakoua Ernest, Villeneuve Manon, Durand Céline, Barthès Bernard. 2016. Geoderma, 261 : 151-159.

Multivariate regional deep learning prediction of soil properties from near-infrared, mid-infrared and their combined spectra. Nyawasha Rumbidzai, Wadoux Alexandre M. J. C., Todoroff Pierre, Chikowo Régis, Falconnier Gatien, Lagorsse Maeva, Corbeels Marc, Cardinael Rémi. 2024. . s.l. : s.n., 1 p. International Symposium on Soil Organic Matter. 9, Ben Guerir, Maroc, 26 Mai 2024/31 Mai 2024.

The overlooked soil organic carbon stocks in African mixed crop-livestock farming systems: a case study from Zimbabwe. Nyawasha Rumbidzai, Falconnier Gatien, Todoroff Pierre, Wadoux Alexandre M. J. C., Chikowo Régis, Corbeels Marc, Cardinael Rémi. 2024. . UM6P, Chair of Soil Sciences, AITTC. Ben Guerir : UM6P, Résumé, 2 p. International Symposium on Soil Organic Matter (SOM2024). 9, Ben Guerir, Maroc, 26 Mai 2024/31 Mai 2024.