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What is Smart Agriculture

Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0
The usage of digital tools to support agricultural activities.
Published in Chapter:
The Application of Big Data and Cloud Computing Among Smallholder Farmers in Sub-Saharan Africa
Elisha Mupaikwa (National University of Science and Technology, Zimbabwe)
DOI: 10.4018/978-1-6684-4755-0.ch006
Abstract
Big data and cloud computing technologies have become popular technologies for information processing across different sectors of the economies including agriculture. This chapter aims to examine the usage of big data and cloud computing in Sub-Saharan African agriculture. According to literature, agriculture in Africa generally faces production challenges and this is attributed to limitations in information access and processing, coupled with farmers' reluctance to adopt new farming practices and digital technologies. After a review of literature on the use of these technologies in Africa, the chapter proposed an integrated model for supporting agriculture through big data and cloud computing.
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More Results
Monitoring and Detecting Plant Diseases Using Cloud-Based Internet of Things
Smart farming is a big leap from traditional farming as it brings certainty and predictability to table. Robotics, automation, and cloud software systems are tools for smart farming.
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Transforming Agriculture With Modern AI: Harnessing Artificial Intelligence to Revolutionize Farming
Use of advanced technology and AI in farming to enhance the quality and quantity of products without compromising the good state of the environment.
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World Market of Organic Food Products
An idea of applying high technologies, using all kinds of innovative solutions and the Internet of things in the agro-industrial complex to promote and simplify the processes of management, control, regulation of production with the least losses and obtaining the maximum result, both in physical terms, in the form of safe food, and in financial indicators.
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Internet of Things Systems to Optimize Agricultural Processes in Developing Countries
A farm management concept that employs Internet of Things systems at various levels and scales of agricultural production, enabling farmers to improve food production.
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A Multicloud-Based Deep Learning Model for Smart Agricultural Applications
It refers to using technologies like IoT, sensors, location systems, robots, and AI on the farm to increase the quality and quantity of the crops while optimizing human labor.
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NB-IoT for Agriculture
The farming practices which make use of the modern technologies such as IoT based wireless communication standards for automatic monitoring of the farming practices.
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