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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,Robots and Drones in Agriculture—A Survey,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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A Multi-Plant Disease Diagnosis Method Using Convolutional Neural Network,oaches to recognize plant diseases are often temporal, challenging, and time-consuming. Therefore, computerized recognition of plant diseases is highly desired in the field of agricultural automation. Due to the recent improvement of computer vision, identifying diseases using leaf images of a parti

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A Deep Learning-Based Approach for Potato Disease Classification,ing strategies. A dataset is generated using 1574 images of various diseases. This dataset is expanded to 7870 images through the data augmentation technique by utilizing scaling and rotation. Experimentation is performed by dividing the data into training and testing categories at a ratio of 8:2. T

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An Efficient Bag-of-Features for Diseased Plant Identification, techniques have been proven to be quite useful. However, the diseased plant identification is still a challenging task due to the disparity in the leaf images. To alleviate the same, this chapter proposes a new bag-of-features-based diseased plant identification method. In the proposed method, the

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