Applications of drones in precision agriculture: future of smart and sustainable farming

Author:

Tyagi Ritvik,Pandey Prem Chandra

Publisher

Elsevier

Reference41 articles.

1. Case study to investigate the adoption of precision agriculture in Nigeria using simple analysis to determine variability on a maize plantation;Abdullahi;Journal of Agricultural Economics and Rural Development,2017

2. Deep learning with unsupervised data labeling for weed detection in line crops in UAV images;Bah;Remote Sensing,2018

3. Estimating canopy density parameters time-series for winter wheat using UAS Mounted LiDAR;Bates;Remote Sensing,2021

4. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley;Bendig;International Journal of Applied Earth Observation and Geoinformation,2015

5. Black, D. (2016). Driverless tractors, drone crop dusters, automated milking: Agriculture called the ‘most attractive’ robotics market opportunity. Available online: https://www.enterpriseai.news/2016/01/21/driverless-tractors-drone-crop-dusters-automated-milking-agriculture-called-the-most-attractive-robotics-market-opportunity/.

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