Leveraging Phenotyping and Crop Modeling in Smart Agriculture

Know about the book -

Leveraging Phenotyping and Crop Modeling in Smart Agriculture is written by Ting Sun and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832566197 (ISBN 10) and 9782832566190 (ISBN 13).

In recent years, the agriculture sector has witnessed a significant transformation due to the integration of digital technologies and data-driven methodologies, leading to the emergence of smart agriculture. Advanced agricultural technologies, notably high-throughput phenotyping and crop modeling, have fundamentally altered our understanding and management of crops. Phenotyping allows for precise characterization of plant traits, while crop modeling provides predictive insights into crop growth and yield based on a diverse set of environmental parameters. In many contexts, phenotyping and modeling are closely intertwined; phenotypic data forms the foundation for modeling, and models offer quantifiable tools for analyzing complex traits. The convergence of these domains presents an exciting opportunity to optimize agricultural practices, enhance resource efficiency, and make substantial contributions to global food security. This research topic aims to seamlessly integrate phenotyping and modeling, essential components in smart agriculture, to address urgent challenges like sustainable food production amidst a growing global population and to optimize resource utilization. The key challenge is the fragmented use and insufficient integration of high-throughput phenotyping and advanced crop modeling. The cohesive fusion of these technologies can revolutionize crop management, offering predictive analytics for optimized resource allocation, enhanced productivity, and environmental sustainability. Recent strides in sensor tech, machine learning, and computational modeling provide a strong foundation for a refined integration of phenotyping and modeling, enabling real-time, data-driven decisions for farmers. This research strives to bridge the gap between phenotyping and crop modeling, aiming for a transformative approach in smart agriculture to ensure sustainability and food security.