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Innovative Measurements to Drive Sustainable Agriculture: The Agroecology Case

D. Dumet 1, P. Cousin 1, O. Husson 2,3, M. Rollet 4, and V. Levavasseur 4
1. Senseen, Valbonne, France
2. CIRAD, UPR AIDA, F-34398 Montpellier, France
3. AIDA, Univ Montpellier, CIRAD, Montpellier, France
4. Ver de Terre Production, Breteuil, France
Abstract—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.
Index Terms—agroecology, AI, NIR, redox potential (Eh spectrometry

Cite: D. Dumet, P. Cousin, O. Husson, M. Rollet, and V. Levavasseur, "Innovative Measurements to Drive Sustainable Agriculture: The Agroecology Case," Journal of Advanced Agricultural Technologies, Vol. 8, No. 2, pp. 60-66, December 2021. Doi: 10.18178/joaat.8.2.60-66

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