[Post-doc completed] Anice Cheraiet : Development of innovative solutions combining biocontrol and agricultural equipment: a further step towards precision spraying in viticulture

Development of innovative solutions combining biocontrol and agricultural equipment: a further step towards precision spraying in viticulture
 

• Starting date:  2nd January 2022
• Scientific field: Agronomy, Modeling, Data analysis, 3D optical sensor
• Funding: ABAPIC
• Supervisors: Olivier Naud, UMR Itap, Inrae
• #DigitAg : Axe 3 : Capteurs, acquisition et gestion de données, Challenge 3 : La protection des cultures

Keywords: Precision agriculture, Spraying, 3D sensors, Modeling

Abstract: The post-doctoral fellowship is part of the Biospraytech. The objective of this project is to take advantage of new precision spraying technologies (combining plant detection, deposit prediction, dose calculation and digitally controlled actuators) to define and validate new experimental plans adapted to the understanding of the parameters that influence the effectiveness of phytosanitary products (and biocontrol). Agroecological transition requires the adoption of new reasoning frameworks that generally lead to a change of scale. The global approach to problems at the farm level, and sometimes at the territorial level, replaces the usual reasoning at the plot level. This change of scale also occurs at the level of levers. From simple or mono-factorial solutions in the conventional approach, we are moving towards more complex solutions that most often combine several levers. For example, by combining a particular variety with specific properties with a particular cultivation technique, we can hope to obtain a result on the pressure of a particular bio-aggressor. In the field of low-input crop protection, tomorrow's solutions will probably result from the combination of several factors, including genetics, agronomy or cultivation practices, biocontrol products and services, and agroequipment. The experience of the PEPS team and the UMT ECOTECH in the redesign of cropping systems shows that a single lever (substitution principle) is often insufficient to match the technical performances encountered today. Innovation combining biocontrol and agroequipment is rarely highlighted. However, it offers many prospects: improved use of each biocontrol product in the field (spraying of substances and micro-organisms, chemical mediators) and coupling between agroequipment and diagnostic tools. The post-doctoral fellow will coordinate the scientific aspects of the part of the project concerning the PEPS team. The missions will be :

*Design of evaluation devices and experimental designs for precision spraying
*Research in precision spraying: LiDAR instrumentation, characterisation of spray deposits, predictive modelling of sprayer behaviour on artificial and real vines, agronomic impact of precision spraying
*To develop the results through the writing of scientific articles

Contact: anice.cheraiet [AT] inrae.fr

Social networks: ResearchGate – LinkedIn

Communications & Papers
Articles

Terrigeol, A., Indorf, M. F., Cheraiet, A., Jouhanique, T., Tanguy, F., Hoareau, D., Rahimian, V., Agésilas-Lequeux, K., Noualhguet, M., Miedziejewski, A., Bazot, S., Lata, J.C., Mathieu, J., Hannot, C., Dreuillaux, J.M., & Zanella, Z. (2018). Study of soil–vegetation relationships on the Butte Montceau in Fontainebleau, France: Pedagogical exercise and training report. Applied soil ecology, 123, 646-658. http://dx.doi.org/10.1016/j.apsoil.2017.07.021

Féret, J. B., Le Maire, G., Jay, S., Berveiller, D., Bendoula, R., Cheraiet, A., Hmimina, G., Oliveira, J.C., Ponzoni, F.J., Solanki, T., de Boissieu, F., Chave, J., Nouvellon, Y., Porcar-Castell, A., Proisy, C., Soudani, K., Gastellu-Etchegorry, J.P., & Lefèvre-Fonollosa, M.J. (2019). Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning. Remote sensing of environment, 231, 110959. https://doi.org/10.1016/j.rse.2018.11.002

Cheraiet, A., Naud, O., Carra, M., Codis, S., Lebeau F., & Taylor J. A. (2020). An algorithm to automate the filtering and classifying of 2D LiDAR data for site-specific estimations of canopy height and width in vineyards. Biosystems Engineering. https://doi.org/10.1016/j.biosystemseng.2020.10.016

Cheraiet, A. (2021). Experimental and statistical modeling of relations between morphological characteristics of grapevine and spraying deposits : application to precision agriculture. Phd thesis. https://doi.org/10.13140/RG.2.2.17872.64001

Cheraiet, A., Naud, O., Carra, M., Codis, S., Lebeau F., & Taylor J. A. (2021). Predicting the site-specific distribution of agrochemical spray deposition in vineyards at multiple phenological stages using 2D LiDAR-based primary canopy attributes, Computers and Electronics in Agriculture, 189, 106402. https://doi.org/10.1016/j.compag.2021.106402

Lopez-Fornieles, E., Tisseyre, B., Cheraiet, A., Gaci, B., & Roger, J. M. (2022). Potential of N-CovSel for variable selection: a case study on time-series of multispectral images. Frontiers in Analytical Science, 6. https://doi.org/10.3389/frans.2022.872646

Cheraiet, A., Naud, O., Carra, M., Codis, S., Taylor, J. (2022) Evaluation of the distribution of spray deposits within a vine canopy from measurements on artificial targets and real leaves,  Oeno One

Communications

Cheraiet, A., Delpuech, X., Carra, M., Andres, J., Vergès, A., Lienard, A., Codis, S., & Naud, O. (2019, May). Evaluating sensors and innovative digital solutions in vineyards to reduce and manage phytosanitary inputs. 49th National Conference of the French Research Group on Pesticides, Montpellier, France.

Cheraiet, A., Carra, M., Lienard, A., Codis, S., Vergès, A., Delpuech, X., & Naud, O. (2019, July). Investigation on LiDAR-based indicators for predicting agrochemical deposition within a vine field. In 12th European Conference on Precision Agriculture ’19, Wageningen Academic Publishers ed. J.V. Stafford, ISBN : 978-90-8686-337-2, Wageningen Academic Publishers, 157-164. https://doi.org/10.3920/978-90-8686-888-9_18.

Cheraiet, A., Taylor, J., Codis, S., Petitot, P., Bidaut, F., Liebart, M., & Naud, O. (2022, August). Testing the suitability of a terrestrial 2D LiDAR scanner for 3D canopy characterisation of narrow vineyards to optimise the spraying process. 31th International Horticultural Congress, Angers, France.

Cheraiet, A., Bates, T., Naud, O., & Taylor J. A. (2022). Predicting grapevine harvest yield variables using an active canopy sensor: application of a multivariate multiblock modelling approach. In 14th European Conference on Precision Agriculture ’23, Wageningen Academic Publishers ed. J.V. Stafford.

Thesis manuscript (lien vers texte intégral en libre-accès) :