Artificial Intelligence for Biology and Agriculture [Paperback]

Preface. End-Effectors for Tomato Harvesting Robot; M. Monta, et al. A Computer Vision Method for Determining Length of Cheese Shreds; H. Ni, S. Gunasekaran. Automated Modelling of Physiological Processes During Postharvest Distribution of Agricultural Products; M. Sloof. A Neuro-Fuzzy Approach to Identify Lettuce Growth and Greenhouse Climate; B.T. Tien, G. van Straten. Artificial Keys for Botanical Identification Using a Multilayer Perceptron Neural Network (MLP); J.Y. Clark, K. Warwick. Video Grading of Oranges in Real-Time; M. Recce, et al. Cell Migration Analysis after In Vitro Wounding Injury with a Multi-Agent Approach; A. Boucher, et al. Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs; V.C. Patel, et al. Automatic Plankton Image Recognition; X. Tang, et al. Identification and Measurement of Convolutions in Cotton Fiber Using Image Analysis; Y.J. Han, et al. Fuzzy Logic for Biological and Agricultural Systems; B. Center, B.P. Verma. Robotics for Plant Production; N. Kondo, K.C. Ting. Three-Dimensional Image Reconstruction Procedure for Food Microstructure Evaluation; K. Ding, S. Gunasekaran.Springer Book Archives