M
Mathieu Léchaudel
Researcher at SupAgro
Publications - 7
Citations - 47
Mathieu Léchaudel is an academic researcher from SupAgro. The author has contributed to research in topics: Precision agriculture & Agriculture. The author has an hindex of 3, co-authored 7 publications receiving 28 citations.
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Journal ArticleDOI
Predictions of fruit shelf life and quality after ripening: Are quality traits measured at harvest reliable indicators?
TL;DR: In this article, the authors used NIRS measurements on unripe mangoes at harvest to predict their shelf life and quality after ripening, and found that the quality traits measured at harvest are reliable indicators of their post-harvest behavior and their quality after rindening.
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An Imaging Approach to Identify Mechanisms of Resistance to Pineapple Fruitlet Core Rot.
Bastien Barral,Marc Chillet,Mathieu Léchaudel,Marc Lartaud,Jean-Luc Verdeil,Geneviève Conejero,Sabine Schorr-Galindo +6 more
TL;DR: The combination of fruitlet anatomy and lignification plays a role in the mechanism of host resistance to fruitlet core rot.
Journal ArticleDOI
Impact of Preharvest and Postharvest on Color Changes during Convective Drying of Mangoes
Alioune Diop,Jean–Michel Méot,Mathieu Léchaudel,Frédéric Chiroleu,Nafissatou Diop Ndiaye,Christian Mertz,Mady Cisse,Marc Chillet +7 more
TL;DR: In this paper, the impact of harvest stage, ripening conditions and maturity on color changes of Cogshall and Kent variety mangoes during drying was evaluated and relationships according to the L*, H* and C* coordinates were established using mixed covariance regression models in relation to the above pre- and post-harvest (preprocess) parameters.
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Spatial analysis and mapping of banana crop properties: issues of the asynchronicity of the banana production and proposition of a statistical method to take it into account
TL;DR: In this article, the authors proposed a mapping approach that handles the diversity of phenological stages and the temporal continuity of production of banana crops, and explored the feasibility of applying this general approach to a plant response parameter which is the time between flowering and maturity (time to harvest) of banana denoted tfm.
Journal ArticleDOI
Evaluating the drivers of banana flowering cycle duration using a stochastic model and on farm production data
TL;DR: In this article, a method was proposed to generate information on CD using the producer's commercially collected production data on flowering from 724 fields over 15 years in a Cameroonian plantation.