ASFS12
Module 12: Digital Agriculture (Core)
Outcome
Investigate the importance of digital agriculture to sustainable food systems.
Indicators
(a) Describe the characteristics of digitally assisted precision agriculture.
(b) Explain potential environmental and economic benefits of digitally assisted precision agriculture.
(c) Research current technological innovations used in digitally assisted precision agriculture, such as Global Positioning Systems [GPS], precision machinery and drones.
(d) Explore emerging trends and future directions in digital agriculture, such as artificial intelligence, robotics, and autonomous farming systems, and their potential impacts on farm productivity.
(e) Assess how various types of digital farm data informs the management of small areas within fields (e.g., effective application of fertilizers, pesticides, tillage and irrigation water).
(f) Discuss issues (e.g., ownership, security, control) related to farming data.
(g) Research challenges and opportunities encountered by a farming operation that implements digitally assisted precision agriculture.
(h) Assess the role of digitally assisted precision agriculture in supporting sustainable food systems.
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