Laëtitia Lemière is one of the #DigitAg cofunded PhDs
Augmented reality to support agroforestry systems design
- Start Date: 1st October 2020
- University: University of Montpellier – MUSE Montpellier Université d’Excellence
- PhD School: GAIA
- Field(s): Computer science, agronomy
- Doctoral Thesis Advisor: Marc Jaeger, AMAP, Cirad
- Co-supervisors : Marie Gosme, SYSTEM, INRAE – Marc Jaeger, AMAP, CIRAD – Gérard Subsol, LIRMM, Université Montpellier
- Funding: #DigitAg- Inrae
- #DigitAg: Axis 2 : Innovation in digital agriculture , Axis 6: Multiscale modelling and simulation, Challenge 1 : ICT and the agroecology challenge, Challenge 8 : ICT and agricultural development in Southern countries (Africa)
Keywords: augmented reality; embedded systems; agroforestry; system design; visual impact
Abstract: Agroforestry is recognized as a way of developing sustainable, resilient agriculture and combating climate change. However, the number of species combinations, spatial configurations, tree and crop management options is vast. The choices must be adapted to the pedo-climatic and socio-economic contexts and to the objectives of the farmer, who therefore needs support to design the system. New technologies can facilitate this support and promote the adoption of agroforestry. Augmented reality (AR, the superimposition of digital objects on real-world images) makes it possible to visualize different future scenarios in order to choose the most desirable one, to begin a process of change. Agroforestry is an ideal case study: the introduction of trees profoundly modifies the appearance of plots and landscapes, so visualization tools would be very effective; and tree growth is slow and the consequences of the farmer’s choices are only revealed several decades later.
The aim of the thesis is to develop two AR applications, and to evaluate them with farmers, agricultural colleges and agroforestry advisors. The first will improve the design of agroforestry systems by allowing interactive comparison of configurations and visualization of the evolution of vegetation dynamics. This approach will be tested in agroforestry system design workshops. The second will realistically visualize in situ the growth of trees in agricultural plots, allowing the farmer to visit his plots and visualize their appearance 10, 20 or 40 years later. This research work aims to integrate growth models into AR technologies and the participatory approach to meet farmers’ needs.
Contact: laetitia.lemiere [AT] gmail.com – Phone: 0683653594