Research graph
References from Harnessing remote sensing and geographic information systems in precision and digital agriculture. Local targets link to admitted publications; unresolved targets remain external evidence.
Mapping vegetation index-derived actual evapotranspiration across croplands using the Google Earth engine platform
10.3390/rs15041017 · 2023 · External reference
Determining optimum irrigation termination periods for cotton production in the Texas High Plains
10.13031/trans.13483 · 2020 · External reference
Leaf nitrogen determination using non-destructive techniques—A review
10.1080/01904167.2016.1143954 · 2017 · External reference
Satellite-based ET estimation in agriculture using SEBAL and METRIC
10.1002/hyp.8408 · 2011 · External reference
Unresolved reference
2015 · External reference
Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology
10.1080/10106049.2023.2197509 · 2023 · External reference
Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data
10.1007/s11119-020-09733-3 · 2021 · External reference
Remotely sensed vegetation indices to discriminate field-grown olive cultivars
10.3390/rs11101242 · 2019 · External reference
A support vector machine and image processing based approach for counting open cotton bolls and estimating lint yield from UAV imagery
10.1016/j.atech.2022.100140 · 2023 · External reference
Site-specific irrigation management in a sub-humid climate using a spatial evapotranspiration model with satellite and airborne imagery
10.1016/j.agwat.2019.105950 · 2020 · External reference
LCIS DSS—an irrigation supporting system for water use efficiency improvement in precision agriculture: a maize case study
10.1016/j.agsy.2019.102646 · 2019 · External reference
A dynamic normalized difference index for estimating soil organic matter concentration using visible and near-infrared spectroscopy
10.1016/j.ecolind.2023.110037 · 2023 · External reference
Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery
10.1007/s11119-019-09698-y · 2020 · External reference
Impact of atmospheric corrections on satellite imagery for corn yield prediction using machine learning
10.1016/j.atech.2025.101216 · 2025 · External reference
Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM
10.1080/10106049.2015.1073369 · 2015 · External reference
Remote sensing as a potential tool for advancing digital soil mapping
2023 · External reference
Precision herbicide application technologies to decrease herbicide losses in furrow irrigation outflows in a Northeastern Australian cropping system
10.1021/acs.jafc.5b04987 · 2016 · External reference
Sensitivity analysis of FAO-56 Penman-Monteith method for different agro-ecological regions of India
10.1007/s40710-015-0107-1 · 2015 · External reference
Quantifying yield gap for rice cropping systems in lower gangetic plains
10.1007/s10333-018-0653-z · 2018 · External reference
Identifying most promising agronomic adaptation strategies to close rainfed rice yield gap in future: a model-based assessment
10.2166/wcc.2021.094 · 2021 · External reference
Assessment of rice yield gap under a changing climate in India
10.2166/wcc.2020.086 · 2021 · External reference
Evaluating bare soil properties and vegetation indices for digital farming applications from UAV-based multispectral images
2023 · External reference
Assessment of red-edge vegetation indices for crop leaf area index estimation
10.1016/j.rse.2018.12.032 · 2019 · External reference
Crop water status assessment in controlled environment using crop reflectance and temperature measurements
10.1007/s11119-016-9492-3 · 2017 · External reference
The synergy between water conservation and economic profitability of adopting alternative irrigation systems for cotton production in the Texas High Plains
10.1016/j.agwat.2021.107386 · 2022 · External reference
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
10.1186/s13007-022-00949-0 · 2022 · External reference
New vegetation stress assessment approach via WorldView-3 imagery, validated with UAV thermal imaging
10.1080/01431161.2025.2513562 · 2025 · External reference
Advancements in UAV remote sensing for agricultural yield estimation: a systematic comprehensive review of platforms, sensors, and data analytics
2025 · External reference
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum
10.1007/s11119-021-09860-5 · 2022 · 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
Application of thermal imaging for plant disease detection
10.1088/1755-1315/540/1/012052 · 2020 · External reference
Economic and environmental consequences of overfertilization under extreme weather conditions
10.2489/jswc.74.2.160 · 2019 · External reference
Evaluation of growth-stage-based variable deficit irrigation strategies for cotton production in the Texas High Plains
10.1016/j.agwat.2023.108222 · 2023 · External reference
UAV low-altitude remote sensing for precision weed management
10.1017/wet.2017.89 · 2018 · External reference
Remote sensing for precision weed management
10.1002/ps.8833 · 2025 · External reference
Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants
10.1016/j.compag.2019.104860 · 2019 · External reference
Optimizing potato yield mapping and prediction: integrating satellite-based remote sensing and machine learning for sustainable agriculture
10.1016/j.compag.2025.110636 · 2025 · External reference
A generalized model to predict large-scale crop yields integrating satellite-based vegetation index time series and phenology metrics
10.1016/j.ecolind.2022.108759 · 2022 · External reference
Remote sensing monitoring of wheat leaf rust based on UAV multispectral imagery and the BPNN method
10.1002/fes3.477 · 2023 · External reference
Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation
10.1007/s00271-022-00798-8 · 2022 · External reference
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
10.1016/j.ecoinf.2023.101998 · 2023 · External reference
Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling
10.1016/j.agwat.2022.107877 · 2022 · External reference
A methodology to optimize site-specific field capacity and irrigation thresholds
10.1016/j.agwat.2023.108385 · 2023 · External reference
Within-field variability in nutrients for site-specific agricultural management in irrigated cornfield
10.13031/ja.15042 · 2022 · External reference
Evaluating the potential of Unmanned Aerial Systems for mapping weeds at field scales: a case study with Alopecurus myosuroides
10.1111/wre.12275 · 2018 · External reference
Determination of irrigation scheduling thresholds based on HYDRUS-1D simulations of field capacity for multilayered agronomic soils in Alabama, USA
10.1016/j.agwat.2021.107234 · 2022 · External reference
Pedology and digital soil mapping (DSM)
10.1111/ejss.12790 · 2019 · External reference
Development of spectral indices for detecting and identifying plant diseases
10.1016/j.rse.2012.09.019 · 2013 · External reference
Angle effects of vegetation indices and the influence on prediction of SPAD values in soybean and maize
2020 · External reference
Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2
10.1016/j.isprsjprs.2019.06.011 · 2019 · External reference
Digital soil mapping: concepts, methods, and applications—remote sensing and GIS perspectives
2023 · External reference
Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming
10.1038/s41598-025-09804-3 · 2025 · External reference
The utility and applicability of vegetation index-based models for the spatial disaggregation of evapotranspiration
10.1007/s00271-024-00963-1 · 2025 · External reference
Estimation of evapotranspiration based on surface energy balance algorithm for land (SEBAL) using Landsat 8 and modis images
10.15666/aeer/1504_19711982 · 2017 · External reference
Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: an operational approach for continuous monitoring
10.1038/s41598-023-38563-2 · 2023 · External reference
Unresolved reference
2025 · External reference
Assessing canopy PRI from airborne imagery to map water stress in maize
10.1016/j.isprsjprs.2013.10.002 · 2013 · External reference
Predicting leaf nitrogen content in olive trees using hyperspectral data for precision agriculture
10.1007/s11119-020-09727-1 · 2021 · External reference
weedNet: dense semantic weed classification using multispectral images and MAV for smart farming
10.1109/lra.2017.2774979 · 2018 · External reference
Alleviation of climate catastrophe in agriculture through adoption of climate-smart technologies
2023 · External reference
Comparative analysis of evapotranspiration (ET), crop water stress index (CWSI), and normalized difference vegetation index (NDVI) to delineate site-specific irrigation management zones in almond orchards
10.1016/j.scienta.2024.113860 · 2025 · External reference
Precision agriculture techniques and practices: from considerations to applications
10.3390/s19173796 · 2019 · External reference
Using high-resolution satellite imaging to evaluate nitrogen status of winter wheat
10.1080/01904160701615533 · 2007 · External reference
Estimating cotton biomass and nitrogen content using high-resolution satellite and UAV data fusion with machine learning
10.1016/j.atech.2025.101191 · 2025 · External reference
Applications of remote sensing in precision agriculture: a review
10.3390/rs12193136 · 2020 · External reference
Irrigation management using an expert system, soil water potentials, and vegetative indices for spatial applications
10.13031/trans.59.11550 · 2016 · External reference
Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery
10.1016/j.compag.2021.106621 · 2022 · External reference
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
10.1007/s41348-017-0124-6 · 2018 · External reference
Identification of soil texture and color using machine learning algorithms and satellite imagery
10.1038/s41598-025-17166-z · 2025 · External reference
Chlorophyll meter-based nitrogen fertilizer optimization algorithm and nitrogen nutrition index for in‐season fertilization of paddy rice
10.1002/agj2.20036 · 2020 · External reference
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods
10.1002/rse2.315 · 2023 · External reference
Potentials and limits of vegetation indices with BRDF signatures for soil-noise resistance and estimation of leaf area index
10.1109/tgrs.2020.2972297 · 2020 · External reference
UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases
10.1016/j.fcr.2022.108582 · 2022 · External reference
Chlorophyll meter-based nitrogen fertilizer optimization algorithm and nitrogen nutrition index for in‐season fertilization of paddy rice
10.1002/agj2.20036 · ExternalCitation · doi-reference
Remote sensing monitoring of wheat leaf rust based on UAV multispectral imagery and the BPNN method
10.1002/fes3.477 · ExternalCitation · doi-reference
Satellite-based ET estimation in agriculture using SEBAL and METRIC
10.1002/hyp.8408 · ExternalCitation · doi-reference
Remote sensing for precision weed management
10.1002/ps.8833 · ExternalCitation · doi-reference
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods
10.1002/rse2.315 · ExternalCitation · doi-reference
Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation
10.1007/s00271-022-00798-8 · ExternalCitation · doi-reference
The utility and applicability of vegetation index-based models for the spatial disaggregation of evapotranspiration
10.1007/s00271-024-00963-1 · ExternalCitation · doi-reference
Quantifying yield gap for rice cropping systems in lower gangetic plains
10.1007/s10333-018-0653-z · ExternalCitation · doi-reference
Crop water status assessment in controlled environment using crop reflectance and temperature measurements
10.1007/s11119-016-9492-3 · ExternalCitation · doi-reference
Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery
10.1007/s11119-019-09698-y · ExternalCitation · doi-reference
Predicting leaf nitrogen content in olive trees using hyperspectral data for precision agriculture
10.1007/s11119-020-09727-1 · ExternalCitation · doi-reference
Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data
10.1007/s11119-020-09733-3 · ExternalCitation · doi-reference
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum
10.1007/s11119-021-09860-5 · ExternalCitation · doi-reference
Sensitivity analysis of FAO-56 Penman-Monteith method for different agro-ecological regions of India
10.1007/s40710-015-0107-1 · ExternalCitation · doi-reference
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
10.1007/s41348-017-0124-6 · ExternalCitation · doi-reference
LCIS DSS—an irrigation supporting system for water use efficiency improvement in precision agriculture: a maize case study
10.1016/j.agsy.2019.102646 · ExternalCitation · doi-reference
Site-specific irrigation management in a sub-humid climate using a spatial evapotranspiration model with satellite and airborne imagery
10.1016/j.agwat.2019.105950 · ExternalCitation · doi-reference
Determination of irrigation scheduling thresholds based on HYDRUS-1D simulations of field capacity for multilayered agronomic soils in Alabama, USA
10.1016/j.agwat.2021.107234 · ExternalCitation · doi-reference
The synergy between water conservation and economic profitability of adopting alternative irrigation systems for cotton production in the Texas High Plains
10.1016/j.agwat.2021.107386 · ExternalCitation · doi-reference
Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling
10.1016/j.agwat.2022.107877 · ExternalCitation · doi-reference
Evaluation of growth-stage-based variable deficit irrigation strategies for cotton production in the Texas High Plains
10.1016/j.agwat.2023.108222 · ExternalCitation · doi-reference
A methodology to optimize site-specific field capacity and irrigation thresholds
10.1016/j.agwat.2023.108385 · ExternalCitation · doi-reference
A support vector machine and image processing based approach for counting open cotton bolls and estimating lint yield from UAV imagery
10.1016/j.atech.2022.100140 · ExternalCitation · doi-reference
Estimating cotton biomass and nitrogen content using high-resolution satellite and UAV data fusion with machine learning
10.1016/j.atech.2025.101191 · ExternalCitation · doi-reference
Impact of atmospheric corrections on satellite imagery for corn yield prediction using machine learning
10.1016/j.atech.2025.101216 · ExternalCitation · doi-reference
Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants
10.1016/j.compag.2019.104860 · ExternalCitation · doi-reference
Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery
10.1016/j.compag.2021.106621 · ExternalCitation · doi-reference
Optimizing potato yield mapping and prediction: integrating satellite-based remote sensing and machine learning for sustainable agriculture
10.1016/j.compag.2025.110636 · ExternalCitation · doi-reference
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
10.1016/j.ecoinf.2023.101998 · ExternalCitation · doi-reference
A generalized model to predict large-scale crop yields integrating satellite-based vegetation index time series and phenology metrics
10.1016/j.ecolind.2022.108759 · ExternalCitation · doi-reference
A dynamic normalized difference index for estimating soil organic matter concentration using visible and near-infrared spectroscopy
10.1016/j.ecolind.2023.110037 · ExternalCitation · doi-reference
UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases
10.1016/j.fcr.2022.108582 · ExternalCitation · doi-reference
Assessing canopy PRI from airborne imagery to map water stress in maize
10.1016/j.isprsjprs.2013.10.002 · ExternalCitation · doi-reference
Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2
10.1016/j.isprsjprs.2019.06.011 · ExternalCitation · doi-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 · ExternalCitation · doi-reference
Development of spectral indices for detecting and identifying plant diseases
10.1016/j.rse.2012.09.019 · ExternalCitation · doi-reference
Assessment of red-edge vegetation indices for crop leaf area index estimation
10.1016/j.rse.2018.12.032 · ExternalCitation · doi-reference
Comparative analysis of evapotranspiration (ET), crop water stress index (CWSI), and normalized difference vegetation index (NDVI) to delineate site-specific irrigation management zones in almond orchards
10.1016/j.scienta.2024.113860 · ExternalCitation · doi-reference
UAV low-altitude remote sensing for precision weed management
10.1017/wet.2017.89 · ExternalCitation · doi-reference
Precision herbicide application technologies to decrease herbicide losses in furrow irrigation outflows in a Northeastern Australian cropping system
10.1021/acs.jafc.5b04987 · ExternalCitation · doi-reference
Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: an operational approach for continuous monitoring
10.1038/s41598-023-38563-2 · ExternalCitation · doi-reference
Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming
10.1038/s41598-025-09804-3 · ExternalCitation · doi-reference
Identification of soil texture and color using machine learning algorithms and satellite imagery
10.1038/s41598-025-17166-z · ExternalCitation · doi-reference
New vegetation stress assessment approach via WorldView-3 imagery, validated with UAV thermal imaging
10.1080/01431161.2025.2513562 · ExternalCitation · doi-reference
Using high-resolution satellite imaging to evaluate nitrogen status of winter wheat
10.1080/01904160701615533 · ExternalCitation · doi-reference
Leaf nitrogen determination using non-destructive techniques—A review
10.1080/01904167.2016.1143954 · ExternalCitation · doi-reference
Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM
10.1080/10106049.2015.1073369 · ExternalCitation · doi-reference
Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology
10.1080/10106049.2023.2197509 · ExternalCitation · doi-reference
Application of thermal imaging for plant disease detection
10.1088/1755-1315/540/1/012052 · ExternalCitation · doi-reference
weedNet: dense semantic weed classification using multispectral images and MAV for smart farming
10.1109/lra.2017.2774979 · ExternalCitation · doi-reference
Potentials and limits of vegetation indices with BRDF signatures for soil-noise resistance and estimation of leaf area index
10.1109/tgrs.2020.2972297 · ExternalCitation · doi-reference
Pedology and digital soil mapping (DSM)
10.1111/ejss.12790 · ExternalCitation · doi-reference
Evaluating the potential of Unmanned Aerial Systems for mapping weeds at field scales: a case study with Alopecurus myosuroides
10.1111/wre.12275 · ExternalCitation · doi-reference
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
10.1186/s13007-022-00949-0 · ExternalCitation · doi-reference
Within-field variability in nutrients for site-specific agricultural management in irrigated cornfield
10.13031/ja.15042 · ExternalCitation · doi-reference
Determining optimum irrigation termination periods for cotton production in the Texas High Plains
10.13031/trans.13483 · ExternalCitation · doi-reference
Irrigation management using an expert system, soil water potentials, and vegetative indices for spatial applications
10.13031/trans.59.11550 · ExternalCitation · doi-reference
Estimation of evapotranspiration based on surface energy balance algorithm for land (SEBAL) using Landsat 8 and modis images
10.15666/aeer/1504_19711982 · ExternalCitation · doi-reference
Assessment of rice yield gap under a changing climate in India
10.2166/wcc.2020.086 · ExternalCitation · doi-reference
Identifying most promising agronomic adaptation strategies to close rainfed rice yield gap in future: a model-based assessment
10.2166/wcc.2021.094 · ExternalCitation · doi-reference
Economic and environmental consequences of overfertilization under extreme weather conditions
10.2489/jswc.74.2.160 · ExternalCitation · doi-reference
Remotely sensed vegetation indices to discriminate field-grown olive cultivars
10.3390/rs11101242 · ExternalCitation · doi-reference
Applications of remote sensing in precision agriculture: a review
10.3390/rs12193136 · ExternalCitation · doi-reference
Mapping vegetation index-derived actual evapotranspiration across croplands using the Google Earth engine platform
10.3390/rs15041017 · ExternalCitation · doi-reference
Precision agriculture techniques and practices: from considerations to applications
10.3390/s19173796 · ExternalCitation · doi-reference
