@article{
 title = {Precision farming using unmanned aerial and ground vehicles},
 type = {article},
 year = {2016},
 keywords = {Simultaneous localization and mapping,Terrain mapping,Unmanned aerial vehicles,Vegetation},
 pages = {146-150},
 month = {12},
 publisher = {Institute of Electrical and Electronics Engineers Inc.},
 day = {28},
 id = {7d14f0c2-453b-3d55-b183-778b9c452a4c},
 created = {2022-09-26T05:55:52.337Z},
 accessed = {2022-09-26},
 file_attached = {true},
 profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},
 group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
 last_modified = {2022-09-26T07:24:28.558Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {The primary goal of this project is to design and implement a fully autonomous UAV (Unmanned Aerial Vehicle) for precision agriculture and farm management. It provides high resolution, spectral images in narrowband blue, green, red, red edge, and near-infrared bands. The secondary goal of this project is to develop a UGV (Unmanned Ground Vehicle) equipped with multiple sensors to provide a high level of autonomy for environmental modeling and to obtain real time images. Images from the UAV and the UGV are then processed with specific indices such as Normalized Difference Vegetation Index [NDVI], Renormalized Difference Vegetation Index [RDVI], Optimized Soil Adjusted Vegetation Index [OSAVI], D. Enhanced Normalized Difference Vegetation Index [ENDVI], Soil Adjusted Vegetation Index [SAVI] to obtain useful output for farm management.},
 bibtype = {article},
 author = {Vasudevan, Ashwin and Kumar, D. Ajith and Bhuvaneswari, N. S.},
 doi = {10.1109/TIAR.2016.7801229},
 journal = {Proceedings - 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016}
}

{"_id":"Xeia8qXSrC2NezYK5","bibbaseid":"vasudevan-kumar-bhuvaneswari-precisionfarmingusingunmannedaerialandgroundvehicles-2016","author_short":["Vasudevan, A.","Kumar, D., A.","Bhuvaneswari, N., S."],"bibdata":{"title":"Precision farming using unmanned aerial and ground vehicles","type":"article","year":"2016","keywords":"Simultaneous localization and mapping,Terrain mapping,Unmanned aerial vehicles,Vegetation","pages":"146-150","month":"12","publisher":"Institute of Electrical and Electronics Engineers Inc.","day":"28","id":"7d14f0c2-453b-3d55-b183-778b9c452a4c","created":"2022-09-26T05:55:52.337Z","accessed":"2022-09-26","file_attached":"true","profile_id":"235249c2-3ed4-314a-b309-b1ea0330f5d9","group_id":"5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1","last_modified":"2022-09-26T07:24:28.558Z","read":false,"starred":false,"authored":false,"confirmed":false,"hidden":false,"private_publication":false,"abstract":"The primary goal of this project is to design and implement a fully autonomous UAV (Unmanned Aerial Vehicle) for precision agriculture and farm management. It provides high resolution, spectral images in narrowband blue, green, red, red edge, and near-infrared bands. The secondary goal of this project is to develop a UGV (Unmanned Ground Vehicle) equipped with multiple sensors to provide a high level of autonomy for environmental modeling and to obtain real time images. Images from the UAV and the UGV are then processed with specific indices such as Normalized Difference Vegetation Index [NDVI], Renormalized Difference Vegetation Index [RDVI], Optimized Soil Adjusted Vegetation Index [OSAVI], D. Enhanced Normalized Difference Vegetation Index [ENDVI], Soil Adjusted Vegetation Index [SAVI] to obtain useful output for farm management.","bibtype":"article","author":"Vasudevan, Ashwin and Kumar, D. Ajith and Bhuvaneswari, N. S.","doi":"10.1109/TIAR.2016.7801229","journal":"Proceedings - 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016","bibtex":"@article{\n title = {Precision farming using unmanned aerial and ground vehicles},\n type = {article},\n year = {2016},\n keywords = {Simultaneous localization and mapping,Terrain mapping,Unmanned aerial vehicles,Vegetation},\n pages = {146-150},\n month = {12},\n publisher = {Institute of Electrical and Electronics Engineers Inc.},\n day = {28},\n id = {7d14f0c2-453b-3d55-b183-778b9c452a4c},\n created = {2022-09-26T05:55:52.337Z},\n accessed = {2022-09-26},\n file_attached = {true},\n profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},\n group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},\n last_modified = {2022-09-26T07:24:28.558Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {The primary goal of this project is to design and implement a fully autonomous UAV (Unmanned Aerial Vehicle) for precision agriculture and farm management. It provides high resolution, spectral images in narrowband blue, green, red, red edge, and near-infrared bands. The secondary goal of this project is to develop a UGV (Unmanned Ground Vehicle) equipped with multiple sensors to provide a high level of autonomy for environmental modeling and to obtain real time images. Images from the UAV and the UGV are then processed with specific indices such as Normalized Difference Vegetation Index [NDVI], Renormalized Difference Vegetation Index [RDVI], Optimized Soil Adjusted Vegetation Index [OSAVI], D. Enhanced Normalized Difference Vegetation Index [ENDVI], Soil Adjusted Vegetation Index [SAVI] to obtain useful output for farm management.},\n bibtype = {article},\n author = {Vasudevan, Ashwin and Kumar, D. Ajith and Bhuvaneswari, N. S.},\n doi = {10.1109/TIAR.2016.7801229},\n journal = {Proceedings - 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016}\n}","author_short":["Vasudevan, A.","Kumar, D., A.","Bhuvaneswari, N., S."],"urls":{"Paper":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c/file/50ed1605-8308-f387-7e5f-324b7a56fe3e/full_text.pdf.pdf"},"biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibbaseid":"vasudevan-kumar-bhuvaneswari-precisionfarmingusingunmannedaerialandgroundvehicles-2016","role":"author","keyword":["Simultaneous localization and mapping","Terrain mapping","Unmanned aerial vehicles","Vegetation"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","dataSources":["2252seNhipfTmjEBQ"],"keywords":["simultaneous localization and mapping","terrain mapping","unmanned aerial vehicles","vegetation"],"search_terms":["precision","farming","using","unmanned","aerial","ground","vehicles","vasudevan","kumar","bhuvaneswari"],"title":"Precision farming using unmanned aerial and ground vehicles","year":2016}