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Artificial Intelligence for Biology and Agriculture

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Cover of 'Artificial Intelligence for Biology and Agriculture'

Table of Contents

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    Book Overview
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    Chapter 1 End-Effectors for Tomato Harvesting Robot
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    Chapter 2 A Computer Vision Method for Determining Length of Cheese Shreds
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    Chapter 3 Automated Modelling of Physiological Processes During Postharvest Distribution of Agricultural Products
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    Chapter 4 A Neuro-Fuzzy Approach to Identify Lettuce Growth and Greenhouse Climate
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    Chapter 5 Artificial Keys for Botanical Identification using a Multilayer Perceptron Neural Network (MLP)
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    Chapter 6 Video Grading of Oranges in Real-Time
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    Chapter 7 Cell Migration Analysis After In Vitro Wounding Injury with a Multi-Agent Approach
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    Chapter 8 Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs
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    Chapter 9 Automatic Plankton Image Recognition
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    Chapter 10 Identification and Measurement of Convolutions in Cotton Fiber Using Image Analysis
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    Chapter 11 Fuzzy Logic for Biological and Agricultural Systems
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    Chapter 12 Robotics for Plant Production
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    Chapter 13 Three-Dimensional Image Reconstruction Procedure for Food Microstructure Evaluation
Attention for Chapter 10: Identification and Measurement of Convolutions in Cotton Fiber Using Image Analysis
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