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Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review
R **, Y Gu, X Zhang, Z Ren - Frontiers in Plant Science, 2024 - frontiersin.org
Nitrogen, as one of the important elements affecting the growth and development of fruit
trees, leads to slowed protein synthesis and reduced photosynthesis, resulting in yellowing …
trees, leads to slowed protein synthesis and reduced photosynthesis, resulting in yellowing …
Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral …
H Liu, J Chen, Y **ang, H Geng, X Yang, N Yang… - European Journal of …, 2024 - Elsevier
Soil moisture content (SMC) acquisition is vital for crop stress diagnosis and precision
irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low …
irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low …
Prediction of leaf nitrogen in sugarcane (Saccharum spp.) by Vis-NIR-SWIR spectroradiometry
Nitrogen is one of the essential nutrients for the production of agricultural crops, participating
in a complex interaction among soil, plant and the atmosphere. Therefore, its monitoring is …
in a complex interaction among soil, plant and the atmosphere. Therefore, its monitoring is …
Non-destructive assessment of cannabis quality during drying process using hyperspectral imaging and machine learning
Cannabis sativa L. is an industrially valuable plant known for its cannabinoids, such as
cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC), renowned for its therapeutic and …
cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC), renowned for its therapeutic and …
Estimation of photosynthetic parameters from hyperspectral images using optimal deep learning architecture
X Deng, Z Zhang, X Hu, J Li, S Li, C Su, S Du… - … and Electronics in …, 2024 - Elsevier
The maximum carboxylation rate (V cmax) and maximum electron transport rate (J max) of
leaves are crucial for comprehending carbon cycling in farmland. Nevertheless, estimating …
leaves are crucial for comprehending carbon cycling in farmland. Nevertheless, estimating …
Effect of selected pre-processing methods by PLSR to predict low-fat mozzarella texture measured by hyperspectral imaging
Having improved prediction performance of PLSR, the most common methods were
implemented to reduce diffusively and specular reflected radiation caused by NIR …
implemented to reduce diffusively and specular reflected radiation caused by NIR …
Estimating winter cover crop biomass in france using optical sentinel-2 dense image time series and machine learning
Cover crops play a pivotal role in mitigating climate change by bolstering carbon
sequestration through biomass production and soil integration. However, current methods …
sequestration through biomass production and soil integration. However, current methods …
[HTML][HTML] Inversion of Leaf Water Content of Cinnamomum camphora Based on Preferred Spectral Index and Machine Learning Algorithm
B Yang, H Zhang, X Lu, H Wan, Y Zhang, J Zhang… - Forests, 2023 - mdpi.com
Plant leaf water content significantly influences photosynthetic efficiency and crop yield. Leaf
water content (LWC) and equivalent water thickness (EWT) are indicators that reflect the …
water content (LWC) and equivalent water thickness (EWT) are indicators that reflect the …
Hyperspectral Estimation of Chlorophyll Content in Grape Leaves Based on Fractional-Order Differentiation and Random Forest Algorithm
Chlorophyll, as a key component of crop leaves for photosynthesis, is one significant
indicator for evaluating the photosynthetic efficiency and developmental status of crops …
indicator for evaluating the photosynthetic efficiency and developmental status of crops …
A brief history of remote sensing of soybean
The last 20 years have been a period of significant advancement in the tools available for
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …