Author:
Yadav Manish,Vashisht B. B.,Vullaganti Niharika,Jalota S. K.,Yadav S. L.,Singh Gurjeet,Kumar Arun,Kothiyal Shivani
Publisher
Springer Nature Singapore
Reference71 articles.
1. Abdullahi HS, Mahieddine F, Sheriff RE (2015) Technology impact on agricultural productivity: a review of precision agriculture using unmanned aerial vehicles. In: Wireless and Satellite Systems: 7th International Conference, WiSATS 2015, Bradford, UK, July 6–7, 2015. Revised Selected Papers 7. Springer International Publishing, pp 388–400
2. Agüera F, Carvajal F, Pérez M (2012) Measuring sunflower nitrogen status from an unmanned aerial vehicle-based system and an on the ground device. Int Arch Photogramm Remote Sens Spat Inf Sci 38:33–37
3. Alexandris S, Psomiadis E, Proutsos N, Philippopoulos P, Charalampopoulos I, Kakaletris G, Paraskevopoulos A (2021) Integrating drone technology into an innovative agrometeorological methodology for the precise and real-time estimation of crop water requirements. Hydrology 8(3):131
4. Altas Z, Ozguven MM, Yanar Y (2018) Determination of sugar beet leaf spot disease level (Cercospora beticola Sacc.) with image processing technique by using drone. Curr Investig Agric Curr Res 5:621–631
5. Bakala HS, Singh G, Srivastava P (2020) Smart breeding for climate resilient agriculture. In: Plant breeding-current and future views. IntechOpen