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This collection features four peer-reviewed reviews on proximal
sensors in agriculture. The first chapter addresses the use of
proximal sensors to evaluate crop health and performance throughout
the growing season. The chapter reviews the evolution of crop
sensors, as well as the issues and limitations facing further
development, including the need to develop sensors equipped with
the ability to detect stresses other than nitrogen. The second
chapter reviews recent advances in using proximal sensors to detect
crop health status in horticultural crops. The chapter considers
the application of sensors to detect micro-environmental parameters
linked to pathogen lifecycles which can then be utilised to predict
disease risk. The third chapter reviews advances in using proximal
spectroscopic sensors to assess soil health. It assesses principles
and technologies, key properties measured, advantages and
disadvantages together with applications in improving soil
management. The final chapter discusses advances in the use of
proximal sensor fusion and multi-sensor platforms for improved crop
management. The chapter considers the combination of remote sensing
from satellites and weather station data as the basis for crop
growth models and explores the benefits of utilising a selection of
tools to investigate yield prediction.
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