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What is Precision Agriculture (PA)

Precision Agriculture Technologies for Food Security and Sustainability
Also called as satellite farming or site specific crop management (SSCM) is a next generation farm management technology which is based on the concept of observing, measuring and responding to inter and intra-field variability in crops.
Published in Chapter:
Introduction to Precision Agriculture: Overview, Concepts, World Interest, Policy, and Economics
Akalpita Tendulkar (Malaysia University of Science and Technology, Malaysia)
DOI: 10.4018/978-1-7998-5000-7.ch001
Abstract
The global population is increasing at a tremendous speed; thus, the demand for safe and secure food to meet this population is in demand. Therefore, traditional farming methods are insufficient to meet this demand; thus, the next revolution in agriculture is required, which is Precision Agriculture (PA), the Fourth Agriculture Revolution. PA is a technology where the concept of farm management is based on observation, measuring, and responding to inter- and intra-field variability in crops. The technologies used for performing precision agriculture are mapping, global positioning system (GPS), yield monitoring and mapping, grid soil sampling application, variable-rate fertilizer application, remote sensing, geographic information systems (GIS), quantifying on farm variability, soil variation, variability of soil water content, time and space scales, robots, drones, satellite imagery, the internet of things, smartphone, and machine learning. Hence, the current chapter will be emphasizing the overview, concepts, history, world interest, benefits, disadvantages, and precision farming needs.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Machine Learning-Enabled Internet of Things Solution for Smart Agriculture Operations
A farming management strategy based on observing, measuring, and responding to temporal and spatial variability to improve agricultural production sustainability. It is used in both crop and livestock production.
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A Multicloud-Based Deep Learning Model for Smart Agricultural Applications
It is a farming management strategy based on observing, measuring, and responding to temporal and spatial variability to improve agricultural production sustainability.
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Towards Fully Automated Decision-Making Systems for Precision Agriculture: Soil Sensing Technologies – “The Missing Link”
The concept of using sensing technologies and automation to respond to special and temporal variations within a field.
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