# Artificial Intelligence in Agriculture: Benefits, Challenges, and Trends
## 4 Artificial Intelligence in Agriculture (RQ2)
### Main Agriculture Domains  
Artificial intelligence is transforming the agricultural sector by optimizing processes and resources. This review identified seven main agricultural applications, as shown \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Score** & **ISSN** & **Journal** & **Impact Factor** & **Citescore** & **Publications** & **Citations** \\ \hline
1 & 0168-1699 & Computers and Electronics in Agriculture & 6.757 & 11.8 & 55 & 4206 \\
2 & 0308-521X & Agricultural Systems & 6.765 & 9.7 & 1 & 1195 \\
3 & 1424-8220 & Sensors & 3.847 & 5.8 & 7 & 1012 \\
4 & 2589-7217 & Artificial Intelligence in Agriculture & 7.5 & 9.4 & 7 & 592 \\
5 & 2073-4395 & Agronomy & 3.949 & 3.9 & 10 & 339 \\
6 & 0166-3615 & Computers in Industry & 11.245 & 16.9 & 2 & 242 \\
7 & 2214-3173 & Information Processing in Agriculture & 6.409 & 12 & 3 & 229 \\
8 & 2169-3536 & IEEE Access & 3.476 & 6.7 & 10 & 196 \\
9 & 2071-1050 & Sustainability & 3.889 & 5.0 & 7 & 196 \\
10 & 1537-5110 & Biosystems Engineering & 5.002 & 8.7 & 2 & 189 \\
11 & 2095-3119 & Journal of Integrative Agriculture & 4.384 & 5.6 & 1 & 185 \\
12 & 2543-1536 & Internet of Things & 5.711 & 10.2 & 3 & 173 \\
13 & 2079-9292 & Electronics & 2.690 & 3.7 & 3 & 115 \\
14 & 2076-3417 & Applied Sciences & 2.838 & 3.7 & 4 & 111 \\
15 & 2327-4662 & IEEE Internet of Things Journal & 10.238 & 17.1 & 2 & 110 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Journals and impact factors. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Score** & **Institution** & **Country** & **Publications** & **Citations** \\ \hline
1 & University of Florida & USA & 7 & 326 \\
2 & Wageningen University \& Research & The Netherlands & 5 & 1629 \\
3 & China Agricultural University & China & 4 & 365 \\
4 & Vellore Institute of Technology & India & 2 & 138 \\
5 & Universidad Catolica del Maule & Chile & 2 & 75 \\
6 & Universiti Teknologi Malaysia & Malaysia & 2 & 73 \\
7 & Dalian University of Technology & China & 2 & 58 \\
8 & Shihaei University & China & 2 & 51 \\
9 & University of Campinas & Brazil & 2 & 48 \\
10 & Universiti Putra Malaysia & Malaysia & 2 & 29 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Institutions promoting research. in Figure 4, and are summarized in Table 12. The objective of crop management is to rationalize resource use [29; 30]. Water management aims to optimize the irrigation process and water use on the farm [31; 32]. Soil management is an important component of the success of site-specific cropping systems management. Chemical application in proper proportions is of environmental and economic concern to farmers [33]. Fertigation uses an irrigation system for fertilizers too. It has been observed that fertigation helps to improve fertilizer effectiveness [34]. Crop prediction or crop yield prediction is an important subject for effective and sustainable resource utilization [35]. Crop classification refers to which crops are grown and can combine image processing and deep learning [36]. Finally, diseases and pests impact crop yield and quality, and their management can improve production and make a substantial contribution to food security [37]. Table 12 shows the applications in the agriculture domains identified with references consulted and the papers correlated with the highest score in the quality assessment.