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What is Precision Farming

Chapter 14
The Strategies of Informing Technology in the 21st Century
The use of computer technologies to observe, measure, and create optimal crop conditions.
Published in Chapter:
Digital Agriculture Strategy
Copyright: © 2022 |Pages: 32
DOI: 10.4018/978-1-7998-8036-3.ch014
Abstract
The aim of this chapter is to examine strategies for digitalizing agriculture. The first part of the chapter examines strategies for digitalizing agriculture in Africa. This part begins with an analysis of the role of agriculture in Africa, and it attempts to answer the question of whether African can feed itself and the world through its own agriculture. The first part will also consider strategies for innovating and computerizing Africa's agriculture. The second part of the chapter will examine agricultural trends and strategies in the European Union. This part will focus specifically on the trends of digital-oriented and smart farm developments. The final part of the chapter will consider strategies for digitalizing agriculture in Latin America and Asia.
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Chapter 6
Artificial Intelligence in the Context of Digital Marketing
The use of techniques in agriculture which minimizes the use of intrants as no wide-scale method is applied.
Published in Chapter: Artificial Intelligence in the Context of Digital Marketing; From: Confronting Security and Privacy Challenges in Digital Marketing
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Chapter 17
Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application
The belief that family is central to wellbeing and that family members and family issues take precedence over other aspects of life.
Published in Chapter: Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application; From: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
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Chapter 90
Agriculture 4.0 and Bioeconomy: Strategies of the European Union and Germany to Promote the Agricultural Sector – Opportunities and Strains of Digitization and the Use of Bio-Based Innovations
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Chapter 166
Multilogistic Regression by Product Units
Use of new technologies, such as global positioning (GPS), sensors, satellites or aerial images, and information management tools (GIS) to assess and understand in-field variability in agriculture. Collected information may be used to more precisely evaluate optimum sowing density, estimate fertilizers and other inputs needs, and to more accurately predict crop yields.
Published in Chapter: Multilogistic Regression by Product Units; From: Encyclopedia of Artificial Intelligence
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