scholarly journals Using Artificial Intelligence to Visualize the Impacts of Climate Change

2021 ◽  
Vol 41 (1) ◽  
pp. 8-14
Author(s):  
Alexandra Luccioni ◽  
Victor Schmidt ◽  
Vahe Vardanyan ◽  
Yoshua Bengio ◽  
Theresa-Marie Rhyne
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.


2016 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)

2014 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)

2018 ◽  
Vol 21 (2) ◽  
pp. 52-53
Author(s):  
Colin Tukuitonga

2020 ◽  
Vol 47 (2) ◽  
pp. 312-332
Author(s):  
Hyeon Seok Gong ◽  
Kyeong Soo Jeong ◽  
Min Kyoung Kim ◽  
Jae Bong Chang

2019 ◽  
Vol 45 (3) ◽  
pp. 323 ◽  
Author(s):  
Xiao-Xia LING ◽  
Zuo-Lin ZHANG ◽  
Jing-Qiu ZHAI ◽  
Shu-Chun YE ◽  
Jian-Liang HUANG

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