Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications
Z Zhou, Y Majeed, GD Naranjo… - … and Electronics in …, 2021 - Elsevier
With the increasing global water scarcity, efficient assessment methods for crop water stress
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …
Thermal imaging for plant stress detection and phenotyping
In the last few years, large efforts have been made to develop new methods to optimize
stress detection in crop fields. Thus, plant phenotyping based on imaging techniques has …
stress detection in crop fields. Thus, plant phenotyping based on imaging techniques has …
Soybean yield prediction from UAV using multimodal data fusion and deep learning
M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning
An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …
management. Current ground methods to measure SMC were limited by the disadvantages …
Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield,
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
Application of irrigation water quality indices and multivariate statistical techniques for surface water quality assessments in the Northern Nile Delta, Egypt
Under sustainable development conditions, the water quality of irrigation systems is a
complex issue which involves the combined effects of several surface water management …
complex issue which involves the combined effects of several surface water management …
[HTML][HTML] Thermal infrared remote sensing of vegetation: Current status and perspectives
Vegetation plays a vital role in the ecological functioning of terrestrial and coastal
ecosystems. Remote sensing generally provides timely and accurate information to manage …
ecosystems. Remote sensing generally provides timely and accurate information to manage …
Spatiotemporal fusion of land surface temperature based on a convolutional neural network
Due to the tradeoff between spatial and temporal resolutions commonly encountered in
remote sensing, no single satellite sensor can provide fine spatial resolution land surface …
remote sensing, no single satellite sensor can provide fine spatial resolution land surface …
[HTML][HTML] Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize
Accurately monitoring the crop water conditions (CWC) is vital for agricultural water
management. Traditional in situ measurements are limited by inefficiency and lack of spatial …
management. Traditional in situ measurements are limited by inefficiency and lack of spatial …
Exploring multisource feature fusion and stacking ensemble learning for accurate estimation of maize chlorophyll content using unmanned aerial vehicle remote …
W Zhai, C Li, Q Cheng, F Ding, Z Chen - Remote Sensing, 2023 - mdpi.com
Crop chlorophyll content measuring plays a vital role in monitoring crop growth and
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …