Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials
The application of biomass, as an energy resource, depends on four main steps of
production, pre-treatment, bio-refinery, and upgrading. This work reviews Machine Learning …
production, pre-treatment, bio-refinery, and upgrading. This work reviews Machine Learning …
GOA-optimized deep learning for soybean yield estimation using multi-source remote sensing data
J Lu, H Fu, X Tang, Z Liu, J Huang, W Zou, H Chen… - Scientific Reports, 2024 - nature.com
Accurately estimating large-area crop yields, especially for soybeans, is essential for
addressing global food security challenges. This study introduces a deep learning …
addressing global food security challenges. This study introduces a deep learning …
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Groundwater level (GWL) prediction is important for ecological protection and resource
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …
Enhancement of quality and quantity of woody biomass produced in forests using machine learning algorithms
Forest is considered a significant source of woody biomass production. Sustainable
production of wood, lower emittance of CO2 from burning, and lower amount of sulfur and …
production of wood, lower emittance of CO2 from burning, and lower amount of sulfur and …
GEOSIF: A continental-scale sub-daily reconstructed solar-induced fluorescence derived from OCO-3 and GK-2A over Eastern Asia and Oceania
The diurnal solar-induced chlorophyll fluorescence (SIF) sampling capability of OCO-3 can
provide crucial insights into ecosystem function at the sub-daily scale. However, potential …
provide crucial insights into ecosystem function at the sub-daily scale. However, potential …
Deep learning for multi-source data-driven crop yield prediction in northeast China
J Lu, J Li, H Fu, X Tang, Z Liu, H Chen, Y Sun, X Ning - Agriculture, 2024 - mdpi.com
The accurate prediction of crop yields is crucial for enhancing agricultural efficiency and
ensuring food security. This study assesses the performance of the CNN-LSTM-Attention …
ensuring food security. This study assesses the performance of the CNN-LSTM-Attention …
The potential of NIRvP in estimating evapotranspiration
C Ersi, B Sudu, Z Song, Y Bao, S Wei, J Zhang… - Remote Sensing of …, 2024 - Elsevier
Accurate estimation of regional-scale evapotranspiration (ET) and reference
evapotranspiration (ET o) is crucial for scientific and rational water resource management …
evapotranspiration (ET o) is crucial for scientific and rational water resource management …
Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF)
Solar-induced chlorophyll fluorescence (SIF), as a direct probe of vegetation photosynthesis,
has recently been an effective indicator for crop yield estimation in late-season. Spatio …
has recently been an effective indicator for crop yield estimation in late-season. Spatio …
[HTML][HTML] A multi-layer perceptron approach for SIF retrieval in the O2-A absorption band from hyperspectral imagery of the HyPlant airborne sensor system
Accurate estimation of solar-induced fluorescence (SIF) from passively sensed
hyperspectral remote sensing data has been identified as fundamental in assessing the …
hyperspectral remote sensing data has been identified as fundamental in assessing the …
A leaf age‐dependent light use efficiency model for remote sensing the gross primary productivity seasonality over pantropical evergreen broadleaved forests
Tropical and subtropical evergreen broadleaved forests (TEFs) contribute more than one‐
third of terrestrial gross primary productivity (GPP). However, the continental‐scale leaf …
third of terrestrial gross primary productivity (GPP). However, the continental‐scale leaf …