Satellite-and drone-based remote sensing of crops and soils for smart farming–a review
Y Inoue - Soil Science and Plant Nutrition, 2020 - Taylor & Francis
Present climate and socioeconomic issues would threaten the global food and
environmental security. Smart farming (SF) based on advances in sensing, robotic, and …
environmental security. Smart farming (SF) based on advances in sensing, robotic, and …
Remote sensing-based crop lodging assessment: Current status and perspectives
Rapid and quantitative assessment of crop lodging is important for understanding the
causes of the phenomena, improving crop management, making better production and …
causes of the phenomena, improving crop management, making better production and …
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …
photosynthetic productivity estimation and crop growth monitoring in agricultural …
Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops
The recent emergence of unmanned aerial vehicles (UAV) has opened a new horizon in
vegetation remote sensing, especially for agricultural applications. However, the benefits of …
vegetation remote sensing, especially for agricultural applications. However, the benefits of …
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon …
Leaf chlorophyll content (LCC), as an important indicator of photosynthetic capacity and
nitrogen status, has been non-destructively estimated from canopy reflectance spectra in …
nitrogen status, has been non-destructively estimated from canopy reflectance spectra in …
Data products, quality and validation of the DLR earth sensing imaging spectrometer (DESIS)
Imaging spectrometry from aerial or spaceborne platforms, also known as hyperspectral
remote sensing, provides dense sampled and fine structured spectral information for each …
remote sensing, provides dense sampled and fine structured spectral information for each …
Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
Background Unmanned aerial vehicle (UAV)-based remote sensing provides a flexible, low-
cost, and efficient approach to monitor crop growth status at fine spatial and temporal …
cost, and efficient approach to monitor crop growth status at fine spatial and temporal …
Feasibility of combining deep learning and RGB images obtained by unmanned aerial vehicle for leaf area index estimation in rice
T Yamaguchi, Y Tanaka, Y Imachi, M Yamashita… - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is a vital parameter for predicting rice yield. Unmanned aerial vehicle
(UAV) surveillance with an RGB camera has been shown to have potential as a low-cost …
(UAV) surveillance with an RGB camera has been shown to have potential as a low-cost …
[HTML][HTML] Effects of prediction accuracy of the proportion of vegetation cover on land surface emissivity and temperature using the NDVI threshold method
Predicting land surface energy budgets requires precise information of land surface
emissivity (LSE) and land surface temperature (LST). LST is one of the essential climate …
emissivity (LSE) and land surface temperature (LST). LST is one of the essential climate …
Early detection of plant physiological responses to different levels of water stress using reflectance spectroscopy
Early detection of water stress is critical for precision farming for improving crop productivity
and fruit quality. To investigate varying rootstock and irrigation interactions in an open …
and fruit quality. To investigate varying rootstock and irrigation interactions in an open …