Multispectral UAV data for detection of weeds in a citrus farm using machine learning and Google Earth Engine: Case study of Morocco

Author:

Saad El Imanni HajarORCID,El Harti Abderrazak,Bachaoui El Mostafa,Mouncif Hicham,Eddassouqui Fatine,Hasnai Mohamed Achraf,Zinelabidine Moulay Ismail

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimation of macro and micronutrient concentrations in ‘valencia’ orange leaves at different phenological stages using multispectral image analysis and multiple regression;International Journal of Remote Sensing;2024-07-26

2. Identification of the phytosanitary status of trees using machine learning and very high spatial resolution images;Scientia Agropecuaria;2024-04-08

3. Exploring the Potential of Remote Sensing to Facilitate Integrated Weed Management in Smallholder Farms: A Scoping Review;Drones;2024-02-26

4. Land cover mapping using Landsat 8 data and supervised learning classifiers in Casablanca region, Morocco;2023 4th International Conference on Data Analytics for Business and Industry (ICDABI);2023-10-25

5. Infrared Detection Technologies in Smart Agriculture: A Review;2023 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2023 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM);2023-09-01

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