1. AI, Sensors, and Robotics for Smart Agriculture.
- Author
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Zhang, Baohua and Qiao, Yongliang
- Subjects
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AGRICULTURAL robots , *PRECISION farming , *ARTIFICIAL intelligence , *DETECTORS , *SUSTAINABLE agriculture , *INTELLIGENT sensors , *AGRICULTURAL technology , *FARM mechanization - Abstract
This document discusses the role of artificial intelligence (AI), sensors, and robotics in smart agriculture. Traditional agriculture practices are facing challenges such as low productivity, degraded land, and reliance on inorganic fertilizers. Smart agriculture aims to improve efficiency, implement green production methods, and promote long-term agricultural viability. AI can be used in precision farming, autonomous machinery, and predictive analytics to optimize resource allocation and mitigate risks. Sensors, including soil moisture sensors and weather sensors, can provide data for scientific analysis and improve productivity. Robotics can accelerate plant breeding and precision farming with reduced labor inputs. The combination of AI, sensors, and robotics enables farmers to collect and analyze data to improve production yield quality. [Extracted from the article]
- Published
- 2024
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