Computer Vision and Machine Learning in Agriculture

In: Algorithms for Intelligent Systems Ser.

Abstract

Intro -- Preface -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Introduction to Computer Vision and Machine Learning Applications in Agriculture -- 1 Introduction -- 2 Computer Vision and Machine Learning in Agriculture -- 3 Challenges and Future Scopes -- 4 Conclusion -- References -- Robots and Drones in Agriculture-A Survey -- 1 Introduction -- 2 Robotics Basic -- 2.1 Robotic Mechanism -- 2.2 Agricultural Robot Classification -- 3 Robots in Agricultural Applications -- 3.1 Robots in Path Navigation -- 3.2 Robots in Crop Production -- 3.3 Robots in Weed Removal and Disease and Pest Control -- 3.4 Robots in Crop Harvesting -- 4 Drones in Agriculture -- 5 Commercialization and Current Challenges of Agricultural Robots -- 6 Conclusion -- References -- Detection of Rotten Fruits and Vegetables Using Deep Learning -- 1 Introduction -- 2 Computer Vision and Machine Learning in Fruits and Vegetable Processing -- 2.1 Segmentation and Detection of Fruits and Vegetables from the Natural Environment -- 2.2 Classification of Fruits and Vegetables -- 2.3 Grading of Fruits and Vegetables -- 2.4 Sorting the Defective Fruits and Vegetables -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Convolutional Neural Network -- 3.3 Proposed Convolutional Neural Network Architecture -- 3.4 AlexNet Architecture -- 4 Experimentation and Results -- 5 Discussion -- 6 Conclusion -- References -- Deep Learning-Based Essential Paddy Pests' Filtration Technique for Economic Damage Management -- 1 Introduction -- 2 Related Works -- 3 Pests Classification -- 3.1 Beneficial Pests -- 3.2 Non-beneficial Pests -- 4 Methodology -- 5 Deep Learning -- 5.1 Convolutional Neural Network -- 6 Experiments -- 6.1 Dataset -- 6.2 Experimental Setup -- 6.3 Confusion Matrix -- 6.4 Computation Time -- 7 Conclusion -- References.