Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture.
By Wouter H. Maes, Kathy Steppe. Trends in Plant Science, 2019
797 citations recorded by the source corpus.
Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also provide detailed vegetation height data and multiangular observations. In this article, we review the progress of remote sensing with UAVs in drought stress, in weed and pathogen detection, in nutrient status and growth vigor assessment, and in yield prediction. To transfer this knowledge to everyday practice of precision agriculture, future research should focus on exploiting the complementarity of hyperspectral or multispectral data with thermal data, on integrating observations into robust transfer or growth models rather than linear regression models, and on combining UAV products with other spatially explicit information.
Subfields: Ecology, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/417cea3078bd2b918829e12434aa6ae3b461136c
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Citations in the corpus
- Applications of Remote Sensing in Precision Agriculture: A Review (2020, methodology): “[43], Maes and Steppe [44], and Angelopoulou et al.”
- A Review on UAV-Based Applications for Precision Agriculture (2019, background): “Maes et al. [15] focused on the suitability of the different available sensors for each application, providing with important perspectives for the use of UAVs in PA.”
- Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends (2023, background): “evaluated the advancement of remote sensing through drones in growth vigor evaluation, nutritional status, disease and weed identification, and drought stress [103].”
- Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review (2020, background): “Undoubtedly, UAVs have played an important role during the last years in agricultural crops; moreover, it is expected that the development of UAV technology will continue expanding its application in smart agriculture [64] .”
- Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, neutral): “Thus, remote sensing has been widely used to monitor drought stress response, assess nutrient status and growth, detect weeds and pathogens, predict yield (Maes and Steppe, 2019), and identify QTLs (Wang et al.”