[HTML][HTML] Remote sensing of quality traits in cereal and arable production systems: A review
Cereal is an essential source of calories and protein for the global population. Accurately
predicting cereal quality before harvest is highly desirable in order to optimise management …
predicting cereal quality before harvest is highly desirable in order to optimise management …
A systematic review of radiative transfer models for crop yield prediction and crop traits retrieval
RAF Ishaq, G Zhou, C Tian, Y Tan, G Jing, H Jiang - Remote Sensing, 2023 - mdpi.com
Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …
with high resource efficiency. In this study, we have conducted a systematic literature review …
Prediction of the severity of Dothistroma needle blight in radiata pine using plant based traits and narrow band indices derived from UAV hyperspectral imagery
Dothistroma needle blight, caused by the fungi Dothistroma septosporum and D. pini is
globally one of the most damaging diseases of pine species. Infection from the pathogen …
globally one of the most damaging diseases of pine species. Infection from the pathogen …
Monitoring rice grain protein accumulation dynamics based on UAV multispectral data
Context or problem The rapid and accurate estimation of grain protein accumulation (GPA)
dynamics in rice by remote sensing (RS) is essential for rice grain quality assessment …
dynamics in rice by remote sensing (RS) is essential for rice grain quality assessment …
[HTML][HTML] Assessing wheat genotype response under combined nitrogen and water stress scenarios coupling high-resolution optical and thermal sensors with radiative …
Remote sensing (RS) offers great possibilities to acquire data for early determination of crop
performance, which is essential for water and nitrogen (N) management. The objective of …
performance, which is essential for water and nitrogen (N) management. The objective of …
Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine Learning Using Multi-Temporal Unmanned Aerial Vehicle …
C Zhang, Y Yi, L Wang, X Zhang, S Chen, Z Su… - Remote Sensing, 2024 - mdpi.com
Accurate and timely monitoring of biochemical and biophysical traits associated with crop
growth is essential for indicating crop growth status and yield prediction for precise field …
growth is essential for indicating crop growth status and yield prediction for precise field …
Construction of hyperspectral reflectance and spectral index inversion model for the water content of Catalpa bungei leaves
S Lv, J Wang, Z Wang, Y Fang, S Wang, F Wang… - Microchemical …, 2024 - Elsevier
Real-time monitoring of leaf water content is an important indicator of drought resistance in
plants. In this study, hyperspectral reflectance and derived data are used to build an …
plants. In this study, hyperspectral reflectance and derived data are used to build an …
[HTML][HTML] Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries
Wheat (Triticum spp.) is crucial to food security. Grain protein content (GPC) is key to its
nutritional and economic value and is controlled by genetic and agronomic factors, soil …
nutritional and economic value and is controlled by genetic and agronomic factors, soil …
Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis
S Zhang, J Duan, X Qi, Y Gao, L He, L Liu, T Guo… - … and Electronics in …, 2024 - Elsevier
The nitrogen nutrition index (NNI) has been extensively applied for the diagnosis of crop
nitrogen status, providing insights into efficient nitrogen utilization and plant growth. In this …
nitrogen status, providing insights into efficient nitrogen utilization and plant growth. In this …
Comparison of Attention Mechanism-Based Deep Learning and Transfer Strategies for Wheat Yield Estimation Using Multisource Temporal Drone Imagery
S Zhang, X Qi, J Duan, X Yuan, H Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Accurate agricultural yield estimates are vital for effective food resource management, and
the efficacy of yield remote-sensing models is influenced by factors such as geographic …
the efficacy of yield remote-sensing models is influenced by factors such as geographic …