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Excerpt from Grami<br/><br/>Although the grami simulation cannot demonstrate the effects of individual factors on growth, it can approximate actual crop performance using relatively simple inputs. This tradeoff makes grami a poor prototype as a diagnostic model but a good proto type as an operational estimation model.
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Grami: A Crop Growth Model That Can Use Remotely Sensed Information
Print-on-DemandAnbieter: Forgotten Books, London, Vereinigtes Königreich
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Paperback. Zustand: New. Print on Demand. This fascinating book articulately explores the complex interplay between remote sensing technology and crop growth modeling. By harnessing the power of remote sensing to provide up-to-date observations of crop characteristics, this book revolutionizes the way we approach crop yield estimation and prediction. The author meticulously outlines a novel numerical technique for incorporating remotely sensed information into a crop growth model, paving the way for more accurate and reliable crop monitoring and management. This interdisciplinary approach not only enhances our understanding of crop growth dynamics but also highlights the book's broader significance in advancing precision agriculture practices. By integrating remote sensing data into crop models, farmers and agriculturalists can gain a more comprehensive insight into crop development, leading to more informed decision-making throughout the growing season. This integration empowers agricultural stakeholders, allowing them to fine-tune their management strategies and optimize crop production, ultimately contributing to global food security. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9780366694037_0
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