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Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R. Key theory is reviewed and illustrated with examples of how to apply these concepts using real data.
Reports for 1897-1908 include the Report of inspection of factories, 5th-16th.
Emrax and his team have officially reached Superior rank and are now sent out to accomplish the new goal set by their dark master but they have other plans. With hopes of building a rebellion to fight against the demon master they strive to reach higher and get themselves ready for what comes next.
The core of this book is a detailed analysis of the status of corporal punishment of children, including Areasonable spankings by parents, under international human rights law. The analysis leads compellingly to the conclusion that such punishment is indeed a human rights violation, consonant with modern norms about right and decent treatment of juveniles. The book further provides a comparative analysis between the domestic laws of the seventeen nations that ban all corporal punishment of children and examples of the domestic laws in the countries that still permit some physical chastisement of children.
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 in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.