Titlebook: Smart and Sustainable Agriculture; First International Selma Boumerdassi,Mounir Ghogho,Éric Renault Conference proceedings 2021 Springer N

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Rhavif Budiman,Kudang Boro Seminar,Sudradjat the appropriate imaging protocol, which is critical in detecting the potentially very subtle changes. The presented MR study protocols include T2-weighted sequences with fat saturation and contrast-enhanced T1-weighted sequences with fat saturation, these being sequences which permit better visuali

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lopments in quantitative UTE imaging.Provides a vast array oThis book comprehensively covers ultrashort echo time (UTE), zero echo time (ZTE), and other magnetic resonance imaging (MRI) acquisition techniques for imaging of short and ultrashort-T2 tissues. MRI uses a large magnet and radio waves to

BOOR

Ensuring Smart Agriculture System Communication Confidentiality Using a New Network Steganography Md in the exchange confidentiality, which is steganography, in the smart agriculture field IoT based. Our approach aims to secure exchanges with a minimum of energy consumption for common objects with a limited energy resource. The results of our experiments show low impact resources consumption when

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Comparison of Machine Learning and Deep Learning Methods for Grape Cluster Segmentation,ts and reached 86% counting accuracy. The results show that deep learning models are more robust to white grape detection compared to classic segmentation techniques. This is an important property for early yield estimation before veraison.

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