Crop phenomics and high-throughput phenotyping: past decades, current challenges, and future perspectives
Since whole-genome sequencing of many crops has been achieved, crop functional
genomics studies have stepped into the big-data and high-throughput era. However …
genomics studies have stepped into the big-data and high-throughput era. However …
A review on UAV-based applications for precision agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Remote sensing in agriculture—accomplishments, limitations, and opportunities
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …
warning system, allowing the agricultural community to intervene early on to counter …
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
L Qiao, W Tang, D Gao, R Zhao, L An, M Li… - … and electronics in …, 2022 - Elsevier
Efficiently estimating chlorophyll content is important in monitoring the photosynthesis
capacity and growth status of maize canopy in precision agriculture management …
capacity and growth status of maize canopy in precision agriculture management …
Combining color indices and textures of UAV-based digital imagery for rice LAI estimation
Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …
Contribution of remote sensing on crop models: a review
Crop growth models simulate the relationship between plants and the environment to predict
the expected yield for applications such as crop management and agronomic decision …
the expected yield for applications such as crop management and agronomic decision …
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods
Background To accurately estimate winter wheat leaf area index (LAI) using unmanned
aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization …
aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization …
[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
[HTML][HTML] UAS-based plant phenotyping for research and breeding applications
Unmanned aircraft system (UAS) is a particularly powerful tool for plant phenotyping, due to
reasonable cost of procurement and deployment, ease and flexibility for control and …
reasonable cost of procurement and deployment, ease and flexibility for control and …
Evaluation of RGB, color-infrared and multispectral images acquired from unmanned aerial systems for the estimation of nitrogen accumulation in rice
Unmanned aerial system (UAS)-based remote sensing is one promising technique for
precision crop management, but few studies have reported the applications of such systems …
precision crop management, but few studies have reported the applications of such systems …