Abstract
Precision agriculture (PA) as a concept allows input optimization by farmers and food producers in order to improve productivity and enhance quality yields while minimizing costs and environmental impacts. Developed countries typically identify with precision agriculture due to very large sizes of farms and the possibility of mechanized systems of crop production. The method involves the data collection, analysis, and plotting on productivity, soil quality parameters, and environmental levels at different locations within the field to decide on the amounts of the applicable inputs (such as water, nutrients, and fertilizers) to the field. In most developing countries, precision agriculture technology is still largely missing. The field sizes are smaller, and technology access, training, and financial capital are still grossly limited. Nonetheless, the farmers in the developing countries still explore the available resources and means at their disposal to increase their agricultural production and productivity.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture |
| Publisher | IGI Global |
| Pages | 123-139 |
| Number of pages | 17 |
| ISBN (Electronic) | 9781799817246 |
| ISBN (Print) | 9781799817222 |
| DOIs | |
| Publication status | Published - 8 Jan 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 17 Partnerships for the Goals
ASJC Scopus subject areas
- General Engineering
- General Agricultural and Biological Sciences
- General Computer Science
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