£52.23

Auerbach Publications Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture

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£52 today · usual range £43–£52 · best ever £43

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Last 44 days · 44 data points (no recent data)

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£52.45 £41.85 £44.16 £46.47 £48.79 £51.10 £53.41 23 April 2026 03 May 2026 14 May 2026 25 May 2026 05 June 2026

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16 days 13 days 1 day 14 days · current 0 4 8 12 16 £43 £46 £48 £52 Days at Price

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Most common price: £43 (16 days, 36.4%)

Price range: £43 - £52

Price levels: 4 different prices over 44 days

Description

In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 June 2024
Listed Since
07 December 2023

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