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Subject : engineering (general). civil engineering (general)

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Academic Journal

Remote Sensing Based Crop Monitoring Techniques: A Case Study for the Navajo Nation

Authors : V. Thangavel; S. Nagarajan; M. Arockiasamy

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-5-2024, Pp 165-170 (2025)

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Academic Journal

Application of a Real-Time Field-Programmable Gate Array-Based Image-Processing System for Crop Monitoring in Precision Agriculture

Authors : Sabiha Shahid Antora; Mohammad Ashik Alahe; Young K. Chang

Subjects: real time; FPGA; RTK-GPS

Source: AgriEngineering, Vol 6, Iss 3, Pp 3345-3361 (2024)

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Academic Journal

A Comparison of Sentinel-1 Biased and Unbiased Coherence for Crop Monitoring and Classification

Authors : Q. Zhao; Q. Xie; X. Peng

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 903-908 (2024)

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Academic Journal

Optimal Timing of Carrot Crop Monitoring and Yield Assessment Using Sentinel-2 Images: A Machine-Learning Approach

Authors : Rangaswamy Madugundu; Khalid A. Al-Gaadi; ElKamil Tola

Subjects: carrot crop monitoring; machine learning; Sentinel-2 images

Source: Applied Sciences, Vol 14, Iss 9, p 3636 (2024)

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Academic Journal

A smart and sustainable framework for millet crop monitoring equipped with disease detection using enhanced predictive intelligence

Authors : Sushruta Mishra; Dayal Rohan Volety; Navdeep Bohra

Subjects: Deep learning; Image processing; Internet of things

Source: Alexandria Engineering Journal, Vol 83, Iss , Pp 298-306 (2023)

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Academic Journal

AUTOMATED CO-REGISTRATION OF INTRA-EPOCH AND INTER-EPOCH SERIES OF MULTISPECTRAL UAV IMAGES FOR CROP MONITORING

Authors : P. O. Mc’Okeyo; F. Nex; C. Persello

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 309-316 (2020)

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Academic Journal

UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION

Authors : V. Sagan; M. Maimaitijiang; P. Sidike

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 715-722 (2019)

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Academic Journal

APPLICATION OF SENTINEL-1 MULTI-TEMPORAL DATA FOR CROP MONITORING AND MAPPING

Authors : R. Nasirzadehdizaji; F. B. Sanli; Z. Cakir

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 803-807 (2019)

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Academic Journal

RICE CROP MONITORING USING SENTINEL-1 C-BAND DATA

Authors : C. Dineshkumar; J. Satishkumar

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 73-77 (2019)

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Academic Journal

ASSESSING CROP MONITORING POTENTIAL OF SENTINEL-2 IN A SPATIO-TEMPORAL SCALE

Authors : P. Ghosh; D. Mandal; A. Bhattacharya

Subjects: Technology; Engineering (General). Civil engineering (General); TA1-2040

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 227-231 (2018)

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فلترة النتائج

Remote Sensing Based Crop Monitoring Techniques: A Case Study for the Navajo Nation

Application of a Real-Time Field-Programmable Gate Array-Based Image-Processing System for Crop Monitoring in Precision Agriculture

A Comparison of Sentinel-1 Biased and Unbiased Coherence for Crop Monitoring and Classification

Optimal Timing of Carrot Crop Monitoring and Yield Assessment Using Sentinel-2 Images: A Machine-Learning Approach

A smart and sustainable framework for millet crop monitoring equipped with disease detection using enhanced predictive intelligence

AUTOMATED CO-REGISTRATION OF INTRA-EPOCH AND INTER-EPOCH SERIES OF MULTISPECTRAL UAV IMAGES FOR CROP MONITORING

UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION

APPLICATION OF SENTINEL-1 MULTI-TEMPORAL DATA FOR CROP MONITORING AND MAPPING

RICE CROP MONITORING USING SENTINEL-1 C-BAND DATA

ASSESSING CROP MONITORING POTENTIAL OF SENTINEL-2 IN A SPATIO-TEMPORAL SCALE

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