Code du cours InfT6026
Crédits 3
La quantité totale d'heures en classe81
Nombre de conferences12
Nombre de travaux pratiques et des séminaires12
La quantitē d'heures de travail autonome d'un ētudiant57
Date de l'approbation du cours16.03.2011
1. Gunchenko Y. (2021). Intellectual systems and information technologies: Monograph. Vienna; Premier Publishing s.r.o.; 184 p. DOI: 10.29013/gunchenkoy.isait.2021.184
2. Maslej N., Fattorini L., Perrault R., Gil Y., Parli V., Kariuki N., Capstick E., Reuel A., Brynjolfsson E., Etchemendy J., Ligett K., Lyons T., Manyika J., Carlos Niebles J., Shoham Y., Wald R., Hamrah A., Santarlasci L., Betts Lotufo J., … Oak S. (2025). Artificial Intelligence Index Report 2025. 457 p.
3. Moskvins G. (2008). Intelektuālās sistēmas un tehnoloģijas: Mācību līdzeklis. Jelgava: LLU. 136 lpp.
4. Russel S., Norvig P. (2022). Artificial Intelligence: A Modern Approach (4th ed.). Pearson Education Limited; 1136 p.
1. Moskvins G. (2008). Automatizācija: Mācību līdzeklis. Jelgava: LLU. 120 lpp.
2. Araújo S. O., Peres R. S., Ramalho J. C., Lidon F., Barata J. (2023). Machine Learning applications in agriculture: Current trends, challenges, and future perspectives. Agronomy, 13. DOI: 10.3390/agronomy13122976
3. Banh L., Strobel G. (2023). Generative artificial intelligence. Electronic Markets, 33. DOI: 10.1007/s12525-023-00680-1
4. Rajak P., Ganguly A., Adhikary S., Bhattacharya S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Journal of Agriculture and Food Research, 14, 100776. DOI: 10.1016/j.jafr.2023.100776
5. Xu Y., Liu X., Cao X., Huang C., Liu E., Qian S., Liu X., Wu Y., Dong F., Qiu C. W., Qiu J., Hua K., Su W., Wu J., Xu H., Han Y., Fu C., Yin Z., Liu M., … Zhang J. (2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation, 2. DOI: 10.1016/j.xinn.2021.100179
6. Aijaz N., Lan H., Raza T., Yaqub M., Iqbal R., Pathan M. S. (2025). Artificial intelligence in agriculture: Advancing crop productivity and sustainability. Journal of Agriculture and Food Research, 20, 101762. DOI: 10.1016/j.jafr.2025.101762
1. Gebresenbet G., Bosona T., Patterson D., Persson H., Fischer B., Mandaluniz N., Chirici G., Zacepins A., Komasilovs V., Pitulac T., Nasirahmadi A. (2023). A concept for application of integrated digital technologies to enhance future smart agricultural systems. Smart Agricultural Technology, 5, 100255. DOI: 10.1016/j.atech.2023.100255
2. Ghazal S., Munir A., Qureshi W. S. (2024). Computer vision in smart agriculture and precision farming: Techniques and applications. Artificial Intelligence in Agriculture, 13, 64–83. DOI: 10.1016/j.aiia.2024.06.004
3. Javaid M., Haleem A., Khan I. H., Suman R. (2023). Understanding the potential applications of Artificial Intelligence in agriculture sector. Advanced Agrochem, 2, 15–30. DOI: 10.1016/j.aac.2022.10.001
4. Jiang Y., Li X., Luo H., Yin S., Kaynak O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2. DOI: 10.1007/s44163-022-00022-8
5. Kiran, Saikanth D. R. K., Saikia A. R., Chintey R., Talukdar N., Bahadur R., Vasuki A. (2023). Smart agriculture: Technologies, practices, and future directions. International Journal of Environment and Climate Change, 13 (12), 689–695. DOI: 10.9734/ijecc/2023/v13i123730
6. Masasi J., Ng’ombe J. N., Masasi B. (2024). Artificial Intelligence in agriculture: Current trends and innovations. Big Data in Agriculture, 6 (2), 96–99. DOI: 10.26480/bda.02.2024.96.99
7. Sadhu P. K., Yanambaka V. P., Abdelgawad A. (2022). Internet of Things: Security and solutions survey. Sensors, 22, 7433. DOI: 10.3390/s22197433
8. Sharma A., Georgi M., Tregubenko M., Tselykh A., Tselykh A. (2022). Enabling smart agriculture by implementing artificial intelligence and embedded sensing. Computers and Industrial Engineering, 165, 107936. DOI: 10.1016/j.cie.2022.107936
9. Sheikh H., Prins C., Schrijvers E. (2023). Mission AI: The new system technology. Springer; 421 p. DOI: 10.1007/978-3-031-21448-6
10. Waqas M., Naseem A., Humphries U. W., Hlaing P. T., Dechpichai P., Wangwongchai A. (2025). Applications of machine learning and deep learning in agriculture: A comprehensive review. In: Green Technologies and Sustainability (Vol. 3, p. 100199). KeAi Communications Co. DOI: 10.1016/j.grets.2025.100199