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 …

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 …

Prediction of leaf nitrogen in sugarcane (Saccharum spp.) by Vis-NIR-SWIR spectroradiometry

PR Fiorio, CAAC Silva, R Rizzo, JAM Demattê… - Heliyon, 2024 - cell.com
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 …

Non-destructive assessment of cannabis quality during drying process using hyperspectral imaging and machine learning

HI Yoon, SH Lee, D Ryu, H Choi, SH Park… - Frontiers in Plant …, 2024 - frontiersin.org
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 …

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 …

Effect of selected pre-processing methods by PLSR to predict low-fat mozzarella texture measured by hyperspectral imaging

T Jahani, M Kashaninejad, AM Ziaiifar… - Journal of Food …, 2024 - Springer
Having improved prediction performance of PLSR, the most common methods were
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

H do Nascimento Bendini, R Fieuzal, P Carrere… - Remote Sensing, 2024 - mdpi.com
Cover crops play a pivotal role in mitigating climate change by bolstering carbon
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 …

Hyperspectral Estimation of Chlorophyll Content in Grape Leaves Based on Fractional-Order Differentiation and Random Forest Algorithm

Y Li, X Xu, W Wu, Y Zhu, G Yang, X Yang, Y Meng… - Remote Sensing, 2024 - mdpi.com
Chlorophyll, as a key component of crop leaves for photosynthesis, is one significant
indicator for evaluating the photosynthetic efficiency and developmental status of crops …

A brief history of remote sensing of soybean

JM Prince Czarnecki, S Samiappan… - Agronomy …, 2025 - Wiley Online Library
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 …