A comprehensive survey of the recent studies with UAV for precision agriculture in open fields and greenhouses
The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …
change and to realize production efficiently and quickly. However, the minimum cost …
Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …
to support productivity increases while minimizing inputs and the adverse effects of climate …
High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
M Cheng, X Jiao, L Shi, J Penuelas, L Kumar, C Nie… - Scientific data, 2022 - nature.com
Accurate and high-resolution crop yield and crop water productivity (CWP) datasets are
required to understand and predict spatiotemporal variation in agricultural production …
required to understand and predict spatiotemporal variation in agricultural production …
Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China
The accurate and timely prediction of crop yield at a large scale is important for food security
and the development of agricultural policy. An adaptable and robust method for estimating …
and the development of agricultural policy. An adaptable and robust method for estimating …
Prediction of strawberry dry biomass from UAV multispectral imagery using multiple machine learning methods
Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast,
accurate and non-destructive monitoring of biomass enables various applications related to …
accurate and non-destructive monitoring of biomass enables various applications related to …
Capturing crop adaptation to abiotic stress using image-based technologies
Farmers and breeders aim to improve crop responses to abiotic stresses and secure yield
under adverse environmental conditions. To achieve this goal and select the most resilient …
under adverse environmental conditions. To achieve this goal and select the most resilient …
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data
Unmanned aerial vehicle (UAV) and satellite data have considerable complementarity for
platform inter-operability, data fusion studies, calibration and validation efforts, and various …
platform inter-operability, data fusion studies, calibration and validation efforts, and various …
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach
Given its high nutritional value and capacity to grow in harsh environments, quinoa has
significant potential to address a range of food security concerns. Monitoring the …
significant potential to address a range of food security concerns. Monitoring the …
Maize and soybean heights estimation from unmanned aerial vehicle (UAV) LiDAR data
S Luo, W Liu, Y Zhang, C Wang, X Xi, S Nie… - … and Electronics in …, 2021 - Elsevier
Crop height is a key structure parameter for the modelling of crop growth, healthy status,
yield forecasting and biomass estimation. Unmanned aerial vehicle (UAV) LiDAR systems …
yield forecasting and biomass estimation. Unmanned aerial vehicle (UAV) LiDAR systems …
Can yield prediction be fully digitilized? A systematic review
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
the deployment of satellites, drones, and ground-based sensors for yield prediction in …