Machine Intelligence in Africa: a survey

AA Tapo, A Traoré, S Danioko, H Tembine - arXiv preprint arXiv …, 2024 - arxiv.org
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

Mapping heterogeneous land use/land cover and crop types in Senegal using sentinel-2 data and machine learning algorithms

MK Gumma, P Panjala, P Teluguntla - International Journal of …, 2024 - Taylor & Francis
In rainfed and dryland agricultural areas with smallholder farms (less than 2 ha), crop
diversity is high due to farmers' decisions and local climatic conditions, leading to a complex …

Spectral discrimination of vegetable crops using in situ hyperspectral data and reference to organic vegetables

M Kaushik, RR Nidamanuri, B Aparna… - … for GeoAnalytics and …, 2023 - ieeexplore.ieee.org
Remote sensing has been evolving as a general method for multi-scale crop information
extraction. Large scale multi-crop discrimination using airborne, or satellite remote sensing …