Research graph
References from Identification of key growth stages for cotton yield formation and SPAD response to irrigation thresholds using UAV multispectral data. Local targets link to admitted publications; unresolved targets remain external evidence.
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
10.3390/rs10071091 · 2018 · External reference
Image processing for medical diagnosis using CNN
10.1016/s0168-9002(02)01908-3 · 2003 · External reference
UAV-based LiDAR and multispectral sensors fusion for cotton yield estimation: plant height and leaf chlorophyll content as a bridge linking remote sensing data to yield
10.1016/j.indcrop.2025.121110 · 2025 · External reference
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
10.1016/s0034-4257(00)00197-8 · 2001 · External reference
Active canopy sensing of winter wheat nitrogen status: an evaluation of two sensor systems
10.1016/j.compag.2014.08.012 · 2015 · External reference
Determination of threshold crop water stress index for sub-surface drip irrigated maize-wheat cropping sequence in semi-arid region of punjab
10.1016/j.agwat.2024.108957 · 2024 · External reference
Double attention bias for positive and negative emotional faces in clinical depression: evidence from an eye-tracking study
10.1016/j.jbtep.2014.09.005 · 2015 · External reference
Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning
10.1016/j.compag.2025.110122 · 2025 · External reference
Agricultural water-saving potentials with water footprint benchmarking under different tillage practices for crop production in an irrigation district
10.1016/j.agwat.2023.108274 · 2023 · External reference
A generalized soil-adjusted vegetation index
10.1016/s0034-4257(02)00048-2 · 2002 · External reference
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
10.1016/s0034-4257(96)00072-7 · 1996 · External reference
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
10.1016/s0034-4257(96)00072-7 · 1996 · External reference
Influences of canopy architecture on relationships between various vegetation indices and LAI and fpar: a computer simulation
10.1080/02757259409532252 · 1994 · External reference
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture
10.1016/j.rse.2003.12.013 · 2004 · External reference
Prediction of soil organic carbon content in Spartina alterniflora by using UAV multispectral and LiDAR data
10.1109/jstars.2025.3534238 · 2025 · External reference
Simulated efficient growth-stage-based deficit irrigation strategies for maximizing cotton yield, crop water productivity and net returns
10.1016/j.agwat.2021.106840 · 2021 · External reference
An improved crop yield prediction using CNN-BiLSTM model with attention mechanism
10.13031/ja.15629 · 2024 · External reference
Using a one-dimensional convolutional neural network on visible and near-infrared spectroscopy to improve soil phosphorus prediction in madagascar
10.3390/rs13081519 · 2021 · External reference
Comparative UAV and field phenotyping to assess yield and nitrogen use efficiency in hybrid and conventional barley
10.3389/fpls.2017.01733 · 2017 · External reference
A survey of the recent architectures of deep convolutional neural networks
10.1007/s10462-020-09825-6 · 2020 · External reference
WREP: a wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops
10.1016/j.isprsjprs.2017.04.024 · 2017 · External reference
Single dose fertilization at reduced nitrogen rate improves nitrogen utilization without yield reduction in late-planted cotton under a wheat–cotton cropping system
10.1016/j.indcrop.2021.114346 · 2022 · External reference
Improving active canopy sensor-based in-season rice nitrogen status diagnosis and recommendation using multi-source data fusion with machine learning
10.1016/j.jclepro.2022.134926 · 2022 · External reference
Proximal NDVI derived phenology improves in-season predictions of wheat quantity and quality
10.1016/j.agrformet.2015.11.009 · 2016 · External reference
Demystifying normalized difference vegetation index (NDVI) for greenness exposure assessments and policy interventions in urban greening
10.1016/j.envres.2022.115155 · 2023 · External reference
Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture
10.3390/rs70302971 · 2015 · External reference
On the relationship between FAPAR and NDVI
10.1016/0034-4257(94)90016-7 · 1994 · External reference
A review on the attention mechanism of deep learning
10.1016/j.neucom.2021.03.091 · 2021 · External reference
Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning
10.1016/j.jenvman.2024.120564 · 2024 · External reference
Changes in micronutrient concentrations under minimum tillage and cotton-based crop rotations in irrigated vertisols
10.1016/j.still.2022.105626 · 2023 · External reference
Improved representation of uncertainty in farm-level financial cost-benefit analyses of supplemental irrigation in humid regions
10.1016/j.agwat.2020.106245 · 2020 · External reference
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
10.1016/j.compag.2022.106775 · 2022 · External reference
Estimating fractional cover of tundra vegetation at multiple scales using unmanned aerial systems and optical satellite data
10.1016/j.rse.2019.01.030 · 2019 · External reference
Optimization of soil-adjusted vegetation indices
10.1016/0034-4257(95)00186-7 · 1996 · External reference
Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat
10.1534/g3.116.032888 · 2016 · External reference
Comparison of two hyperspectral imaging and two laser-induced fluorescence instruments for the detection of zinc stress and chlorophyll concentration in bahia grass (Paspalum notatum flugge.)
10.1016/s0034-4257(02)00181-5 · 2003 · External reference
Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data
2025 · External reference
Evaluating the sensitivity of vegetation indices to leaf area index variability at individual tree level using multispectral drone acquisitions
10.1016/j.agrformet.2025.110441 · 2025 · External reference
Red and photographic infrared linear combinations for monitoring vegetation
10.1016/0034-4257(79)90013-0 · 1979 · External reference
Multi-depth soil moisture estimation via 1D convolutional neural networks from drone-mounted ground penetrating radar data
10.1016/j.compag.2025.110104 · 2025 · External reference
Intraspecific variation in the thermal safety margin in Coffea arabica L. in response to leaf age, temperature, and water status
10.1016/j.scienta.2024.113455 · 2024 · External reference
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the south of China
10.1016/j.agrformet.2020.108096 · 2020 · External reference
Compensation of cotton yield by nitrogen fertilizer in non-mulched fields with deficit drip irrigation
10.1016/j.agwat.2024.108850 · 2024 · External reference
Applicability, scope, and threshold determination of the cotton water stress characterization index: prediction based on machine learning algorithms and validated by field experiments
10.1016/j.agwat.2025.109921 · 2025 · External reference
A novel method to optimize the limited irrigation schedule for cotton: HYDRUS-triggered irrigation simulation and plant water deficit index threshold analysis
10.1016/j.indcrop.2025.122484 · 2026 · External reference
Winter wheat chlorophyll content retrieval based on machine learning using in situ hyperspectral data
10.1016/j.compag.2022.106728 · 2022 · External reference
10.3390/rs13163175
10.3390/rs13163175 · External reference
Screening verticillium wilt-resistant germplasm by monitoring the time-series chlorophyll content of cotton canopies via a UAV-based high-throughput platform
10.1016/j.compag.2025.110791 · 2025 · External reference
Evaluation and application of AquaCrop in simulation of alternate irrigation with brackish and fresh water for cotton under mulch drip irrigation in southern xinjiang
10.1016/j.indcrop.2025.120548 · 2025 · External reference
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction
10.1016/j.plaphe.2025.100068 · 2025 · External reference
Revolutionizing crop phenotyping: enhanced UAV LiDAR flight parameter optimization for wide-narrow row cultivation
10.1016/j.rse.2025.114638 · 2025 · External reference
Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives
2017 · External reference
Chlorophyll dynamic fusion based on high-throughput remote sensing and machine learning algorithms for cotton yield prediction
10.1016/j.fcr.2025.110057 · 2025 · External reference
Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning
10.1016/j.compag.2024.109813 · 2025 · External reference
Enhancing snap bean yield prediction through synergistic integration of UAS-based LiDAR and multispectral imagery
10.1016/j.compag.2025.109923 · 2025 · External reference
Identification of bacterial blight resistant rice seeds using terahertz imaging and hyperspectral imaging combined with convolutional neural network
2020 · External reference
Enhancing nitrogen fertilizer productivity in cotton fields in southern xinjiang by improving the soil microenvironment through water and nitrogen management
10.1016/j.agwat.2025.109442 · 2025 · External reference
Optimizing irrigation and fertilization strategies to reduce the carbon footprint and enhance ecological-economic benefit in non-film drip-irrigated cotton fields in Southern Xinjiang
10.1016/j.still.2026.107068 · 2026 · External reference
Estimation of chlorophyll content in cotton canopy leaves based on drone multispectral sensors: multiple spectral information fusion
10.1016/j.indcrop.2025.121710 · 2025 · External reference
Eigen-CNN: eigenimages plus eigennoise level maps guided network for hyperspectral image denoising
2024 · External reference
