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1. LiDAR-based soybean crop segmentation for autonomous navigationThe technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca |
2. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn |
3. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in MoroccoSoil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution topsoil (0-30cm) map of Morocco and estimated the... B. Gerrard, E. Ben-dor, M. Bayad |