Titlebook: Computer Vision and Machine Learning in Agriculture; Mohammad Shorif Uddin,Jagdish Chand Bansal Book 2021 The Editor(s) (if applicable) an

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2524-7565 ped with the touch of CV-ML.Presents deep learning tools and.This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agri

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Mohammad Shorif Uddin,Jagdish Chand BansalDiscusses applications of computer vision and machine learning (CV-ML) for better agricultural practices.Describes intelligent robots developed with the touch of CV-ML.Presents deep learning tools and

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The Definitive Guide to Spring Web Flowty. The demand for efficient as well as reliable food production techniques is rapidly increasing day by day. Computer vision tagged with machine learning approaches grabbed considerable attention for research to meet this demand through analyzing and understanding the input images from humans, robo

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,Spring Web Flow’s Architecture,s is resulting in famine, which causes a dreadful recession in the economy. To bridge this gap, automation in agriculture has been assembled with diverse robotics technologies by replacing traditional farming processes to improve agricultural efficiency. Robotics in agriculture generally represents

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,Spring Web Flow’s Architecture,creased productivity. In this chapter, a region-based deep convolutional neural network (Faster R-CNN) where a deep CNN is connected with a region proposal network (RPN) is used to perform the detection and identification paddy pests from the images. The main focus of this chapter is to find out not

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