Research graph
References from Integration of computer vision for smart agriculture: Fundamentals and applications. Local targets link to admitted publications; unresolved targets remain external evidence.
A mobile-based system for detecting plant leaf diseases using deep learning
10.3390/agriengineering3030032 · 2021 · External reference
Automated fruit grading system
2017 · External reference
2017 IEEE Aerospace Conference
2017 · External reference
Application, adoption and opportunities for improving decision support systems in irrigated agriculture: A review
10.1016/j.agwat.2021.107161 · 2021 · External reference
Computer vision based fruit grading system for quality evaluation of tomato in agriculture industry
10.1016/j.procs.2016.03.055 · 2016 · External reference
Adaptive fault-tolerant control for pure-feedback stochastic nonlinear systems with sensor and actuator faults
10.1007/s00034-023-02366-7 · 2023 · External reference
Agricultural robots for field operations: concepts and components
10.1016/j.biosystemseng.2016.06.014 · 2016 · External reference
Fuzzy-IoT smart irrigation system for precision scheduling and monitoring
10.1016/j.compag.2023.108407 · 2023 · External reference
Deep learning approaches and interventions for futuristic engineering in agriculture
10.1007/s00521-022-07744-x · 2022 · External reference
Smart farming management system: pre and post-production interventions
2024 · External reference
Identifying crop water stress using deep learning models
10.1007/s00521-020-05325-4 · 2021 · External reference
Deep learning assisted real-time nitrogen stress detection for variable rate fertilizer applicator in wheat crop
10.1016/j.compag.2025.110545 · 2025 · External reference
Applications of computer vision in plant pathology: a survey
10.1007/s11831-019-09324-0 · 2020 · External reference
UAV imagery, advanced deep learning, and YOLOv7 object detection model in enhancing citrus yield estimation
10.21603/2308-4057-2025-2-650 · 2025 · External reference
Drone-computer communication based tomato generative organ counting model using YOLO V5 and deep-sort
10.3390/agriculture12091290 · 2022 · External reference
IoT-based smart irrigation systems: An overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture
10.3390/s20041042 · 2020 · External reference
A computer-vision-based approach for nitrogen content estimation in plant leaves
10.3390/agriculture11080766 · 2021 · External reference
Picking dynamic analysis for robotic harvesting of Agaricus bisporus mushrooms
10.1016/j.compag.2021.106145 · 2021 · External reference
Real-time visual inspection system for grading fruits using computer vision and deep learning techniques
2022 · External reference
Real-time recognition of spraying area for UAV sprayers using a deep learning approach
10.1371/journal.pone.0249436 · 2021 · External reference
Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment
10.1007/s11947-011-0725-1 · 2012 · External reference
Visual detection of occluded crop for automated harvesting
2016 · External reference
Yield estimation and visualization solution for precision agriculture
10.3390/s21196657 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
2026 · External reference
A contextualized approach for segmentation of foliage in different crop species
10.1016/j.compag.2018.11.033 · 2019 · External reference
An interdisciplinary approach to artificial intelligence in agriculture
2023 · External reference
Transformation of Indian agriculture through mechanization
10.30954/0424-2513.2.2019.4 · 2019 · External reference
UAV imagery coupled deep learning approach for the development of an adaptive in-house web-based application for yield estimation in citrus orchard
10.1016/j.measurement.2024.114786 · 2024 · External reference
Disease control measures using vision-enabled agricultural robotics
2024 · External reference
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
10.1007/s10462-024-11100-x · 2025 · External reference
Unresolved reference
2025 · External reference
Leveraging AI and ML in precision farming for pest and disease management: benefits, challenges, and future prospects
2025 · External reference
Canopy height estimation using drone-based RGB images
2023 · External reference
Using HJ-CCD image and PLS algorithm to estimate the yield of field-grown winter wheat
10.1038/s41598-020-62125-5 · 2020 · External reference
Cherry recognition in natural environment based on the vision of picking robot
10.1088/1755-1315/61/1/012021 · 2017 · External reference
Deep learning based automatic grape downy mildew detection
10.3389/fpls.2022.872107 · 2022 · External reference
Estimating the growth indices and nitrogen status
10.3389/fpls.2021.619522 · 2021 · External reference
Few-shot image classification of crop diseases based on vision–language models
10.3390/s24186109 · 2024 · External reference
Adaptive fault-tolerant control for pure-feedback stochastic nonlinear systems with sensor and actuator faults
10.1007/s00034-023-02366-7 · ExternalCitation · doi-reference
Identifying crop water stress using deep learning models
10.1007/s00521-020-05325-4 · ExternalCitation · doi-reference
Deep learning approaches and interventions for futuristic engineering in agriculture
10.1007/s00521-022-07744-x · ExternalCitation · doi-reference
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
10.1007/s10462-024-11100-x · ExternalCitation · doi-reference
Applications of computer vision in plant pathology: a survey
10.1007/s11831-019-09324-0 · ExternalCitation · doi-reference
Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment
10.1007/s11947-011-0725-1 · ExternalCitation · doi-reference
Application, adoption and opportunities for improving decision support systems in irrigated agriculture: A review
10.1016/j.agwat.2021.107161 · ExternalCitation · doi-reference
Agricultural robots for field operations: concepts and components
10.1016/j.biosystemseng.2016.06.014 · ExternalCitation · doi-reference
A contextualized approach for segmentation of foliage in different crop species
10.1016/j.compag.2018.11.033 · ExternalCitation · doi-reference
Picking dynamic analysis for robotic harvesting of Agaricus bisporus mushrooms
10.1016/j.compag.2021.106145 · ExternalCitation · doi-reference
Fuzzy-IoT smart irrigation system for precision scheduling and monitoring
10.1016/j.compag.2023.108407 · ExternalCitation · doi-reference
Deep learning assisted real-time nitrogen stress detection for variable rate fertilizer applicator in wheat crop
10.1016/j.compag.2025.110545 · ExternalCitation · doi-reference
UAV imagery coupled deep learning approach for the development of an adaptive in-house web-based application for yield estimation in citrus orchard
10.1016/j.measurement.2024.114786 · ExternalCitation · doi-reference
Computer vision based fruit grading system for quality evaluation of tomato in agriculture industry
10.1016/j.procs.2016.03.055 · ExternalCitation · doi-reference
Using HJ-CCD image and PLS algorithm to estimate the yield of field-grown winter wheat
10.1038/s41598-020-62125-5 · ExternalCitation · doi-reference
Cherry recognition in natural environment based on the vision of picking robot
10.1088/1755-1315/61/1/012021 · ExternalCitation · doi-reference
Real-time recognition of spraying area for UAV sprayers using a deep learning approach
10.1371/journal.pone.0249436 · ExternalCitation · doi-reference
UAV imagery, advanced deep learning, and YOLOv7 object detection model in enhancing citrus yield estimation
10.21603/2308-4057-2025-2-650 · ExternalCitation · doi-reference
Transformation of Indian agriculture through mechanization
10.30954/0424-2513.2.2019.4 · ExternalCitation · doi-reference
Estimating the growth indices and nitrogen status
10.3389/fpls.2021.619522 · ExternalCitation · doi-reference
Deep learning based automatic grape downy mildew detection
10.3389/fpls.2022.872107 · ExternalCitation · doi-reference
A computer-vision-based approach for nitrogen content estimation in plant leaves
10.3390/agriculture11080766 · ExternalCitation · doi-reference
Drone-computer communication based tomato generative organ counting model using YOLO V5 and deep-sort
10.3390/agriculture12091290 · ExternalCitation · doi-reference
A mobile-based system for detecting plant leaf diseases using deep learning
10.3390/agriengineering3030032 · ExternalCitation · doi-reference
IoT-based smart irrigation systems: An overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture
10.3390/s20041042 · ExternalCitation · doi-reference
Yield estimation and visualization solution for precision agriculture
10.3390/s21196657 · ExternalCitation · doi-reference
Few-shot image classification of crop diseases based on vision–language models
10.3390/s24186109 · ExternalCitation · doi-reference
