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Eyes in the Field: Precision Agriculture with Drones, Sensors, and IoT MTA
How to implement data-driven crop management for higher yields and lower inputs

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About this book:

Eyes in the Field: Precision Agriculture with Drones, Sensors, and IoT *Eyes in the Field: Precision Agriculture with Drones, Sensors, and IoT* serves as a comprehensive manual for transitioning traditional farming into data-driven operations. The book establishes that precision agriculture is not a replacement for grower intuition but an extension of it, utilizing drones, multispectral sensors, and IoT devices to manage field variability at high resolution. By shifting from whole-field management to zone-based management, growers can optimize inputs like seed, fertilizer, and water, ultimately increasing yields while reducing environmental impact and operational costs.

The technical core of the book details the "find, map, and treat" workflow. It explains how remote sensing platforms capture data across the electromagnetic spectrum—such as NDVI for vigor and thermal imaging for water stress—and how this information is validated through "ground truthing" methods like soil sampling and tissue testing. The text emphasizes the importance of data standards (ISOXML, Shapefiles) and connectivity (LoRaWAN, NB-IoT) to ensure that information flows seamlessly from the field to decision-support platforms and back to variable-rate machinery.

Beyond hardware and software, the book focuses heavily on the practicalities of implementation, including financial ROI frameworks and change management. It provides a roadmap for building a tech stack, conducting pilot projects, and training staff to manage the "learning curve" associated with new technologies. Key chapters address the necessity of data governance and cybersecurity, ensuring that the valuable information collected on the farm remains secure and under the grower's control.

The book concludes with real-world case studies across diverse crops and regions, illustrating that precision agriculture is scalable for both large-scale row crop operations and smallholder cooperatives. These examples highlight that success is not found in a single tool, but in the iterative process of collecting data, analyzing correlations, and refining management practices over multiple seasons. Ultimately, the book positions precision technology as a critical tool for modern stewardship, balancing profitability with resource conservation.

What You'll Find Inside:
  • Strategies for transitioning from uniform field management to zone-based management using drones and IoT sensors.
  • Technical deep dives into remote sensing, including how to use RGB, multispectral, and thermal data to diagnose crop health and water stress.
  • Practical guidance on creating and executing variable-rate prescriptions for seeding, nutrient application, and irrigation.
  • Frameworks for calculating ROI and payback periods to ensure technology investments translate into financial profitability.
  • Best practices for data governance, including ownership rights, cybersecurity for farm networks, and standardizing file formats like ISOXML.
Who's It For:

This book is designed for commercial growers, agronomists, and agricultural consultants who want to implement data-driven practices on their operations. It is particularly beneficial for those looking for a practitioner-focused manual that bridges the gap between high-level technology and daily field decisions. It serves as a comprehensive guide for anyone responsible for optimizing yields and reducing input costs through precision hardware and software integration.

Author:

Patrick Schmidt

Published By:

MixCache.com


Date Published:

January 15, 2026

Word Count:

64,809 words

Reading Time:

4 hours 32 minutes

Sample:

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