Innovative measurements to drive sustainable agriculture: The agroecology case

Dumet Didier, Cousin Philippe, Husson Olivier, Rollet Martin, Levavasseur Vincent. 2021. Innovative measurements to drive sustainable agriculture: The agroecology case. Journal of Advanced Agricultural Technologies, 8 (2) : 60-66.

https://doi.org/10.18178/joaat.8.2.60-66

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Résumé : The situation of our food and agricultural system, facing the effects of the climate change and linked to the rise of both global population and needs is more than worrying. The need of production can no longer be solved by the excessive exploitation of our soils which has only led to the degradation of lands. This paper presents multidisciplinary researches that combine research on new indicators (such as redox potential which could be considered as key measure for agroecology and state-of-art in photonics which can miniaturize Near InfraRed spectrometer associated to advanced AI research in chemo metrics. They can altogether provide, at low-cost, measurements useful to drive the farms towards agroecological practices. Results will be presented on analysing 1000 samples of rapeseed measurements which lead, for the first time, to determine potential redox by spectrometry combined with the use of deep learning approaches.

Mots-clés Agrovoc : agroécologie, agriculture durable, potentiel redox, systèmes d'innovation agricole, apprentissage machine, spectrométrie

Mots-clés libres : Agroecology, Redox potential, Near Infra Red Spectrometry, Machine learning

Classification Agris : F08 - Systèmes et modes de culture
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

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