Resultados de búsqueda - "Unmanned Aerial Vehicles"

Drone technology in agriculture por Dhulipala, Ram

Materias: “…unmanned aerial vehicles…”
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Can the global drone revolution make agriculture more sustainable? Rapid growth in drone use is upending expectations but also inducing trade-offs por Belton, Ben, Baldiga, Leo, Justice, Scott, Minten, Bart, Narayanan, Sudha, Reardon, Thomas

Materias: “…unmanned aerial vehicles…”
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Agricultural drones are taking off globally, saving farmers time and money por Belton, Ben, Baldiga, Leo

Materias: “…unmanned aerial vehicles…”
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Current trends in River Bathymetry using UAV-borne technology to inform E-flow assessments in Southern Africa por Singh, K.

Materias: “…unmanned aerial vehicles…”
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UAV based survey on portions of the Crocodile, Sabie, and Olifants rivers at Kruger National Park, Limpopo, South Africa to obtain LiDAR, RGB and multispectral imagery por Graham, P. M., Pike, T., Pattinson, N. B., Singh, K., Harvey, T.

Materias: “…unmanned aerial vehicles…”
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OrchardQuant-3D: Combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards por Xia, Yunpeng, Li, Hanghang, Zhang, Fanhang, Sun, Gang, Qi, Kaijie, Jackson, Robert, Pinheiro, Felipe, Liu, Xiaoman, Mu, Yue, Zhang, Shaoling, Deakin, Greg, Whitfield, E. Charles, Tao, Shutian, Zhou, Ji

Materias: “…unmanned aerial vehicles…”
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Cropping systems mapping through high resolution imagery por Blasch, Gerald, Zepeda, Adair, Schulthess, Urs, Sonder, Kai, Lopez-Ridaura, Santiago

Materias: “…unmanned aerial vehicles…”
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Characterization of rice yield based on biomass and SPAD-based leaf nitrogen for large genotype plots por Duque, Andres F., Patino, Diego, Colorado, Julian D., Petro, Eliel E., Rebolledo, Maria C, Mondragon, Iván Fernando, Espinosa, Natalia, Amézquita, Nelson, Puentes, Oscar D, Mendez, Diego, Jaramillo-Botero, Andres

Materias: “…unmanned aerial vehicles…”
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Comparison of the use of multispectral orthomosaics and RGB panoramic images for plant cover calculation in Urochloa hybrids por Camelo-Munevar, Rodrigo Andrés, Cardoso Arango, Juan Andrés, Hernández, Luis Miguel, Jauregui, Rosa

Materias: “…unmanned aerial vehicles…”
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Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery por Cardoso Arango, Juan Andres, Jauregui, Rosa Noemi, Camelo-Munevar, Rodrigo Andres, Ruiz-Hurtado, Andres Felipe, Arrechea-Castillo, Darwin Alexis

Materias: “…unmanned aerial vehicles…”
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Forages ROIs: Automated forage grass detection in aerial imagery por Ruiz-Hurtado, Andres Felipe, Camelo-Munevar, Rodrigo Andres, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres

Materias: “…unmanned aerial vehicles…”
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Exploring the prospects of UAV-Remotely sensed data in estimating productivity of Maize crops in typical smallholder farms of Southern Africa por Mbulisi Sibanda, Buthelezi, S., Mutanga, O., Odindi, J., Clulow, A.D., Chimonyo, Vimbayi Grace Petrova, Gokool, S., Naiken, V., Magidi, J., Mabhaudhi, Tafadzwanashe

Materias: “…unmanned aerial vehicles…”
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AI-enabled UAV borne hyperspectral imaging for crop-livestock farm management por Sankararao, A.U.G., Rajalakshmi, P., Choudhary, Sunita, Kholova, Jana, Jones, Christopher S.

Materias: “…unmanned aerial vehicles…”
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Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images por Wang, Chufeng, Xu, Shijie, Yang, Chenghai, You, Yunhao, Zhang, Jian, Kuai, Jie, Xie, Jing, Zuo, Qingsong, Yan, Mingli, Du, Hai, Ma, Ni, Liu, Bin, You, Liangzhi, Wang, Tao, Wu, Hao

Materias: “…unmanned aerial vehicles…”
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Estimación de la arbustización mediante drones e Indice de vegetación de Sentinel-2 en el monte oriental rionegrino. Comunicación por Olmedo, Gabriel Adrián, Echevarria, Daniela Carola

Materias: “…Unmanned Aerial Vehicles…”
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Pasturas inteligentes: usar drones para mejorar producción, reducir pérdidas y cuidar el ambiente por Burghi, Victor Hugo

Materias: “…Unmanned Aerial Vehicles…”
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Leveraging drones, digital tools, and near-real time data for enhanced decision making by smallholder farmers por Jardinero, Benedict

Materias: “…unmanned aerial vehicles…”
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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis por Ndour, Adama, Blasch, Gerald, Valente, João, Bisrat Gebrekidan, Sida, Tesfaye Shiferaw

Materias: “…unmanned aerial vehicles…”
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Advancing Soil Moisture Prediction Using Satellite and UAV-based Imagery with Machine Learning Models por Hussain, S., Arshad, M., Cheema, Muhammad Jehanzeb Masud, Qamar, M. U., Wajid, S. A., Daccache, A.

Materias: “…unmanned aerial vehicles…”
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Progress report: Use of satellites and drones for estimation of forage quantity and quality por Cardoso, Juan Andrés

Materias: “…unmanned aerial vehicles…”
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