Browsing Sustainable Intensification by Subject "UNMANNED AERIAL VEHICLES"

CIMMYT Publications Repository

Seeding innovation ... Nourishing hope

Now showing items 1-5 of 5

Article

A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (UAV)-based proximal and remotely sensed data

Ndlovu, H.S.; Odindi, J.; Sibanda, M.; Mutanga, O.; Clulow, A.D.; Chimonyo, V.G.P.; Mabhaudhi, T. (MDPI, 2021)
Article

Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south

Sibanda, M.; Mutanga, O.; Chimonyo, V.G.P.; Clulow, A.D.; Shoko, C.; Mazvimavi, D.; Dube, T.; Mabhaudhi, T. (MDPI, 2021)
Article

Correction: Sibanda et al. Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the Global South. Drones 2021, 5, 84

Sibanda, M.; Mutanga, O.; Chimonyo, V.G.P.; Clulow, A.D.; Shoko, C.; Mazvimavi, D.; Dube, T.; Mabhaudhi, T. (MDPI, 2022)
Article

High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation

Volpato, L.; Pinto Espinosa, F.; Gonzalez-Perez, L.; Thompson, I.G.; Borém, A.; Reynolds, M.P.; Gerard, B.; Molero, G.; Rodrigues, F. (Frontiers, 2021)
Article

Wheat yield estimation from UAV platform based on multi-modal remote sensing data fusion

Zhang, S.H.; Duan, J.Z.; He, L.; Jing, Y.H.; Schulthess, U.; Lashkari, A.; Tiancai Guo; Yonghua Wang; Wei Feng (Institute of Crop Sciences, 2022)