Supplementary Table 1. Frequency (number of tweets) in the most active 25 countries, percentage (%) of the total dataset and cumulative percentage (Cum %).
Country Freq % Cum %
(1)
USA 5149 28.60 28.60
(2)
India 2571 14.28 42.89
(3)
UK 1961 10.89 53.78
(4)
Nigeria 1013 5.63 59.41
(5)
Canada 978 5.43 64.84
(6)
Australia 485 2.69 67.54
(7)
Kenya 407 2.26 69.80
(8)
Germany 378 2.10 71.90
(9)
Italy 358 1.99 73.88
(10)
France 354 1.97 75.85
(11)
Netherlands 340 1.89 77.74
(12)
Switzerland 274 1.52 79.26
(13)
South Africa 245 1.36 80.62
(14)
Belgium 238 1.32 81.95
(15)
Zimbabwe 231 1.28 83.23
(16)
Spain 180 1.00 84.23
(17)
Uganda 163 0.91 85.13
(18)
Pakistan 139 0.77 85.91
(19)
Singapore 129 0.72 86.62
(20)
Ireland 128 0.71 87.33
(21)
Philippines 128 0.71 88.05
(22)
Brazil 117 0.65 88.70
(23)
Denmark 116 0.64 89.34
(24)
China 113 0.63 89.97
(25)
Malaysia 103 0.57 90.54
Supplementary Table 2. Word analysis (frequency of words) of the tweets from the most active countries in the dataset. Each technology is highlighted in different colors.
USA India UK Nigeria
Word Freq % Word Freq % Word Freq % Word
Fre
q %
agriculture
298 3
57.
9 agriculture
171 9
66.
9 agriculture
125 3
63.
9 agriculture 865 85.
4 ai
113 5
22.
0 smart 596
23.
2 digital 375 19.
1 digital 485 47.
9 smart
102 3
19.
9 digital 522
20.
3 artificial 315 16.
1 smart 423
41.
8 digital 891 17.
3 ai 489 19.
0 smart 338 17.
2 farmers 140 13.
8 market 628
12.
2 farmers 324
12.
6 intelligence 314 16.
0 nigeria 103 10.
2
climate 423 8.2 india 286
11.
1 ai 202
10.
3 village 112 11.
1 data 413 8.0 technology 240 9.3 iot 188 9.6 navsa 100 9.9
food 432 8.4 iot 211 8.2 data 142 7.2 climate 82 8.1
intelligenc
e 431 8.4 farming 209 8.1 farming 179 9.1 food 84 8.3
artificial 413 8.0 data 162 6.3
managemen
t 158 8.1 technology 81 8.0
technology 387 7.5 education 179 7.0 industry 144 7.3 economy 68 6.7
iot 361 7.0 sector 164 6.4 food 137 7.0 agricultural 64 6.3
industry 378 7.3 food 152 5.9 climate 126 6.4 gombe 64 6.3
farming 370 7.2 market 148 5.8 farmers 126 6.4 farming 54 5.3
new 350 6.8 industry 140 5.4 cities 121 6.2 data 49 4.8
farmers 335 6.5 agri 123 4.8 technology 113 5.8 minister 56 5.5
global 330 6.4
infrastructur
e 138 5.4 global 80 4.1 africa 58 5.7
growth 330 6.4 solutions 128 5.0 blockchain 80 4.1 empowermen
t 58 5.7
future 273 5.3 blockchain 120 4.7 farm 71 3.6 sector 51 5.0
blockchain 244 4.7 farm 119 4.6 agricultural 74 3.8 new 49 4.8
Supplementary Table 3. Two-word combination analysis (frequencies) of the tweets from the most active countries in the dataset. Each technology is highlighted in different colors.
USA India UK Nigeria
2-word comb. Freq % 2-word comb. Fre
q
% 2-word comb. Fre
q
% 2-word comb. Fre
q
%
smart agriculture 414 8.
0 smart agriculture 164 6.
4 artificial intelligence 310 15.
8 smart agriculture 320 31.
6 artificial intelligence 410 8.
0 digital agriculture 93 3.
6 smart agriculture 135 6.8 digital agriculture 230 22.
7 agriculture market 374 7.
3 climate smart 84 3.
3 agriculture market 96 4.9 adopted village 109 10.
8
climate smart 295 5.
7 agriculture sector 80 3.
1 management cities 111 5.6 climate smart 70 6.9 intelligence ai 259 5.
0 artificial intelligence 77 3.
0 big data 60 3.0 agriculture navsa 61 6.0
machine learning 200 3.
9 supply chain 70 2.
7 climate smart 86 4.3 gombe state 52 5.1
digital agriculture 191 3.
7 next generation 65 2.
5 digital agriculture 73 3.7 digital economy 53 5.2 precision agriculture 119 2.
3 smart farming 63 2.
5 smart management 64 3.2 agriculture book 39 3.8
big data 94 1.
8 urban infrastructure 64 2.
5 data analytics 28 1.4 empowerment
programme 33 3.3
supply chain 94 1.
8 precision agriculture 58 2.
3 agriculture buildings 42 2.1 honourable minister 33 3.3 agriculture industry 87 1.
7 brilliant team 57 2.
2 intelligence ai 30 1.5 digital technology 29 2.9
smart farming 80 1.
6 professionals focus 57 2.
2 new digital 37 1.8 jigawa state 26 2.6
digital transformation 77 1.
5 smart technocrats 57 2.
2 buildings
management 36 1.8 big data 28 2.8
market size 71 1.
4 visionary farsighted 57 2.
2 industry iot 33 1.6 food security 28 2.8
united states 65 1.
3 wise ministers 57 2.
2 precision agriculture 32 1.6 agriculture empowerment 27 2.7
food supply 59 1.
1 experienced
professionals 56 2.
2 iot daily 30 1.5 state university 27 2.7
real time 59 1.
1 agriculture market 53 2.
1 latest farming 30 1.5 director general 26 2.6
key players 58 1.
1 pragmatic president 53 2.
1 farm machinery 26 1.3 ekiti state 19 1.9
food production 56 1.
1 big data 45 1.
8 iot infrastructure 28 1.4 value chain 20 2.0
fresh produce 55 1.
1 indian agriculture 48 1.
9 machine learning 27 1.3
8 digital innovation 19 1.9
