TY - GEN
T1 - Agro-AI Education
T2 - 21st Annual Conference of the Special Interest Group in Information Technology Education, SIGITE 2020
AU - Orn, Donovan
AU - Duan, Lian
AU - Liang, Yi
AU - Siy, Harvey
AU - Subramaniam, Mahadevan
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/10/7
Y1 - 2020/10/7
N2 - The importance of sustainable and efficient food production has driven the need for applying increasingly advanced approaches in farming and agriculture. To keep up with this need, farmers and future farmers need to be trained in the ways of precision agriculture. With the widespread use of artificial intelligence across all industries, it is not surprising to find AI at the heart of precision agriculture. While AI has brought a lot of promise, it has also brought a lot of dread, due to the lack of understanding about what it is and what it can do. To help farmers buy into applying AI, a new educational program is needed. To this end, we have developed a simple active learning system to illustrate AI, particularly, machine learning. We present an overview of the system and discuss how it can contribute to future farmers' understanding of how AI works.
AB - The importance of sustainable and efficient food production has driven the need for applying increasingly advanced approaches in farming and agriculture. To keep up with this need, farmers and future farmers need to be trained in the ways of precision agriculture. With the widespread use of artificial intelligence across all industries, it is not surprising to find AI at the heart of precision agriculture. While AI has brought a lot of promise, it has also brought a lot of dread, due to the lack of understanding about what it is and what it can do. To help farmers buy into applying AI, a new educational program is needed. To this end, we have developed a simple active learning system to illustrate AI, particularly, machine learning. We present an overview of the system and discuss how it can contribute to future farmers' understanding of how AI works.
KW - active learning
KW - artificial intelligence education
UR - http://www.scopus.com/inward/record.url?scp=85094920423&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85094920423&partnerID=8YFLogxK
U2 - 10.1145/3368308.3415457
DO - 10.1145/3368308.3415457
M3 - Conference contribution
AN - SCOPUS:85094920423
T3 - SIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education
SP - 54
EP - 57
BT - SIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education
PB - Association for Computing Machinery, Inc
Y2 - 7 October 2020 through 9 October 2020
ER -