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Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture
Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement...
Hyperspectral Imaging for Food Quality Analysis and Control
Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instrum...
Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques
With rapid progress being made in both theory and practical applications, Artificial Intelligence (AI) is transforming every aspect of life and leading the world towards a sustainable future. AI technology is fundamentally and radically affecting agriculture with a move towards smart systems. The outcome of this transition is improved efficiency, reduced environmental pollution, and enhanced productivity of crops. Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques is a reference which provides readers timely updates in the progress of intelligent sensing techniques used for nondestructive evaluation of agro-products. Chapters, each contributed by experts in food saf...
Imaging: Sensors and Technologies
This book is a printed edition of the Special Issue "Imaging: Sensors and Technologies" that was published in Sensors
Computer Vision Technology for Food Quality Evaluation
The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergra...
Visual Sensors
Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.
Spectroscopic Methods in Food Analysis
Given the inherent complexity of food products, most instrumental techniques employed for quality and authenticity evaluation (e.g., chromatographic methods) are time demanding, expensive, and involve a considerable amount of manual labor. Therefore, there has been an increasing interest in simpler, faster, and reliable analytical methods for assessing food quality attributes. Spectroscopic Methods in Food Analysis presents the basic concepts of spectroscopic methods, together with a discussion on the most important applications in food analysis. The determination of product quality and authenticity and the detection of adulteration are major issues in the food industry, causing concern amon...
Optical Monitoring of Fresh and Processed Agricultural Crops
In an age of heightened nutritional awareness, assuring healthy human nutrition and improving the economic success of food producers are top priorities for agricultural economies. In the context of these global changes, new innovative technologies are necessary for appropriate agro-food management from harvest and storage, to marketing and consumer
Rapid and Nondestructive Detection Techniques for Agri-Product Quality
Agri-product such as grains, fruits and vegetables play a very important role in people's daily life. The agri-product quality directly affects human life and health. Agri-product quality refers to the quality characteristics acceptable to consumers, which mainly includes external factors such as size, shape, color, defect and texture, and internal factors such as physical properties, chemical composition and tissue diseases. Generally speaking, variety, climate, soil, cultivation techniques, diseases and pests are all factors that affect the agri-product quality. Traditional methods for agri-product quality evaluation are time-consuming, complex, and expensive. With the continuous developme...
