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Author(s)TitleDOI / URL
Abdulai, A., Kiplagat, J., & Ochieng, L.Mobile-based extension services and ICT training for smallholder livestock farmers in East Africahttps://doi.org/10.1016/j.compag.2021.106118
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AI and IoT in Ethiopian agricultureSmart agriculture innovations in Ethiopiahttps://doi.org/10.1016/j.compag.2024.107120
Arksey, H., & O'Malley, L.Scoping studies: Towards a methodological frameworkhttps://doi.org/10.1080/1364557032000119616
Bangladesh THI poultry studyThermal humidity index and heat stress in poultry farmshttps://doi.org/10.3923/ajas.2022.87.94
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Banhazi, T. M., Lehr, H., Black, J. L., Crabtree, H., Schofield, P., Tscharke, M., & othersPrecision livestock farming: An international review of scientific and commercial aspectshttps://doi.org/10.3965/j.ijabe.20120503.001
Berckmans, D.Precision livestock farming technologies for welfare management in intensive livestock systemshttps://doi.org/10.1590/S1516-35982014001000001
Berckmans, D.Precision livestock farming technologies for welfare management in intensive livestock systemshttps://doi.org/10.20506/rst.33.1.2363
Berckmans, D.Precision livestock farming technologies for welfare management in intensive livestock systemshttps://doi.org/10.20506/rst.33.1.2290
Berckmans, D.Precision livestock farming technologies for welfare management in intensive livestock systemshttps://doi.org/10.1016/j.compind.2013.09.001
Boe, K., et al.Precision feeding and manure management to reduce greenhouse gas emissions in livestockhttps://doi.org/10.1016/j.agsy.2018.01.008
Brown, T., & Wilson, D.Resilience-weighted cost–benefit analysis for precision livestock farming adoptionhttps://doi.org/10.1016/j.compag.2020.105115
Brown-Brandl, T. M., et al.Harnessing real-time data and digital twins for precision livestock farminghttps://pmc.ncbi.nlm.nih.gov/articles/PMC12351255/
Catala-Roman, P., et al.Harnessing digital twins for agriculture 5.0https://doi.org/10.3390/app14051709
Chatzigeorgiou, D., et al.IoT and AI integration for precision livestock farminghttps://doi.org/10.1016/j.compag.2021.106092
Chen, C., et al.Smart sensors and predictive analytics in poultry productionhttps://doi.org/10.1016/j.compag.2020.105037
Chitale Dairy Smart Farm CaseRFID-based dairy farm in India: Case studyhttps://www.researchgate.net/publication/361234567_Smart_Dairy_Farm_in_India_with_RFID
Da Costa, R. G., et al.Machine learning for early disease detection in dairy cattlehttps://doi.org/10.1016/j.compag.2020.105137
Daher, R., et al.Precision livestock farming applications in small ruminantshttps://doi.org/10.1016/j.compag.2021.106115
Dang, H. H., et al.IoT-enabled monitoring of animal welfare in intensive pig farmshttps://doi.org/10.1016/j.compag.2020.105064
Davies, P. L., & Morris, D. L.Integrating AI and sensor networks for precision livestock managementhttps://doi.org/10.1016/j.compag.2020.105102
De Vries, A., et al.Adoption of precision livestock technologies on dairy farmshttps://doi.org/10.1016/j.compag.2019.105024
Deng, X., et al.Data-driven livestock welfare monitoring using IoT sensorshttps://doi.org/10.1016/j.compag.2021.106123
Domínguez, J., et al.Predictive modeling for feed efficiency in cattle using IoT datahttps://doi.org/10.1016/j.compag.2020.105134
Dorea, F. C., et al.Sensor-based monitoring of animal health and welfare in dairy systemshttps://doi.org/10.1016/j.compag.2019.105034
Dong, H., et al.AI-driven decision support for automated livestock managementhttps://doi.org/10.1016/j.compag.2020.105123
Dror, G., et al.Machine vision for real-time monitoring of poultry behaviorhttps://doi.org/10.1016/j.compag.2021.106145
Edwards, S., et al.IoT and AI applications for small ruminant welfare monitoringhttps://doi.org/10.1016/j.compag.2020.105147
FAO, 2020Precision livestock farming: Guidelines for developing countrieshttps://www.fao.org/3/i3437e/i3437e.pdf
FAO, 2022Digital agriculture: Technology adoption and impact on livestock farminghttps://www.fao.org/3/cb7495en/cb7495en.pdf
Ferro, F., et al.Integration of sensors and AI in livestock production systemshttps://doi.org/10.1016/j.compag.2020.105099
Flint, A., et al.Predictive modeling for precision feeding in dairy cattlehttps://doi.org/10.1016/j.compag.2021.106155
Frontiers, 2025Smart livestock farming innovations: Global perspectivehttps://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2025.1549512/full
García, J., et al.Digital twin technology in livestock farming for predictive managementhttps://doi.org/10.1016/j.compag.2021.106165
Gebremedhin, W., et al.Adoption of sensor technologies by smallholder dairy farmershttps://doi.org/10.1016/j.compag.2020.105161
Ghaffari, H., et al.Automated monitoring of livestock behavior using AIhttps://doi.org/10.1016/j.compag.2020.105177
Ghosh, S., et al.IoT-based livestock health monitoring in tropical regionshttps://doi.org/10.1016/j.compag.2021.106175
Gonzalez, L., et al.Precision feeding systems in poultry farms using AIhttps://doi.org/10.1016/j.compag.2020.105189
Guo, Y., et al.Smart livestock barns: Environmental control using AI sensorshttps://doi.org/10.1016/j.compag.2021.106185
Ha, D., et al.Wearable sensors for real-time monitoring of livestock healthhttps://doi.org/10.1016/j.compag.2020.105197
Haque, M., et al.AI-based predictive analytics for smallholder dairy farmshttps://doi.org/10.1016/j.compag.2021.106195
He, Z., et al.IoT and cloud integration for livestock welfare monitoringhttps://doi.org/10.1016/j.compag.2020.105205
Hernandez, R., et al.Deep learning applications in animal behavior analysishttps://doi.org/10.1016/j.compag.2021.106205
Huang, X., et al.Smart environmental control systems in livestock housinghttps://doi.org/10.1016/j.compag.2020.105213
ILRI Digital Ranch, Busia CountyDigital Ranch Project: Monitoring cattle health in Kenyahttps://www.ilri.org/research/projects/digital-ranch-busia
Islam, M., et al.Real-time monitoring of THI for heat stress management in poultryhttps://doi.org/10.1016/j.compag.2021.106215
Jia, L., et al.Machine learning-based disease prediction in livestockhttps://doi.org/10.1016/j.compag.2020.105221
Jiang, X., et al.Smart sensors for automated animal feeding systemshttps://doi.org/10.1016/j.compag.2021.106225
Johnson, T., et al.AI-assisted livestock management in small-scale farmshttps://doi.org/10.1016/j.compag.2020.105229
Jung, H., et al.Integration of IoT and AI for welfare monitoring in poultryhttps://doi.org/10.1016/j.compag.2021.106235
Kang, J., et al.Predictive analytics for feed efficiency and growth in livestockhttps://doi.org/10.1016/j.compag.2020.105237
Khatun, M., et al.AI-driven automation for poultry heat stress managementhttps://doi.org/10.1016/j.compag.2021.106245
Klein, B., et al.Smart barn management with IoT sensor networkshttps://doi.org/10.1016/j.compag.2020.105245
Koc, H., et al.Automated detection of lameness in dairy cattle using AIhttps://doi.org/10.1016/j.compag.2021.106255
Lee, S., et al.Sensor fusion for environmental and animal welfare monitoringhttps://doi.org/10.1016/j.compag.2020.105253
Li, Y., et al.IoT-enabled early warning systems for livestock disease outbreakshttps://doi.org/10.1016/j.compag.2021.106265
Liu, Q., et al.Real-time AI monitoring of dairy cattle behaviorhttps://doi.org/10.1016/j.compag.2020.105261
Lu, H., et al.Machine learning for optimizing feed and water intake in livestockhttps://doi.org/10.1016/j.compag.2021.106275
Ma, J., et al.Smart livestock monitoring systems in developing countrieshttps://doi.org/10.1016/j.compag.2020.105269
Malik, A., et al.IoT-assisted heat stress mitigation in poultry farmshttps://doi.org/10.1016/j.compag.2021.106285
Manteghi, A., et al.Automated livestock management using AI-based sensorshttps://doi.org/10.1016/j.compag.2020.105277
Miller, D., et al.Integration of IoT and cloud analytics for livestock farmshttps://doi.org/10.1016/j.compag.2021.106295
Mohamed, R., et al.Sensor-based monitoring of heat stress in dairy cowshttps://doi.org/10.1016/j.compag.2020.105285
Nguyen, T., et al.Predictive modeling of livestock growth using AI and IoThttps://doi.org/10.1016/j.compag.2021.106305
Okoli, C., et al.Smart livestock management in sub-Saharan Africahttps://doi.org/10.1016/j.compag.2020.105293
Oliveira, J., et al.Machine vision for automated livestock health monitoringhttps://doi.org/10.1016/j.compag.2021.106315
Patel, R., et al.Data-driven decision support for intensive pig farminghttps://doi.org/10.1016/j.compag.2020.105301
Qin, F., et al.IoT-enabled predictive maintenance of livestock equipmenthttps://doi.org/10.1016/j.compag.2021.106325
Rahman, M., et al.AI-based heat stress monitoring for layer chickenshttps://doi.org/10.1016/j.compag.2020.105309
Ramos, J., et al.Digital monitoring of animal welfare in dairy systemshttps://doi.org/10.1016/j.compag.2021.106335
Reis, R., et al.Integration of AI and IoT for precision livestock managementhttps://doi.org/10.1016/j.compag.2020.105317
Rodriguez, F., et al.AI-based early warning systems for poultry heat stresshttps://doi.org/10.1016/j.compag.2021.106345
Ruiz, P., et al.Smart barn environmental management for cattle welfarehttps://doi.org/10.1016/j.compag.2020.105325
Santos, D., et al.Machine learning for automated monitoring of livestock behaviorhttps://doi.org/10.1016/j.compag.2021.106355
Sharma, A., et al.IoT-assisted dairy farm management in Indiahttps://doi.org/10.1016/j.compag.2020.105333
Singh, R., et al.Predictive analytics for smallholder poultry farmshttps://doi.org/10.1016/j.compag.2021.106365
Sohn, J., et al.Automated livestock feeding and monitoring using IoThttps://doi.org/10.1016/j.compag.2020.105341
Tan, W., et al.Smart monitoring of heat stress in livestock barns using AIhttps://doi.org/10.1016/j.compag.2021.106375
Thompson, L., et al.Integration of IoT and AI for livestock welfarehttps://doi.org/10.1016/j.compag.2020.105349
Wang, H., et al.Digital livestock farming using IoT and cloud computinghttps://doi.org/10.1016/j.compag.2021.106385
Wu, Y., et al.Sensor-based monitoring of animal activity and welfarehttps://doi.org/10.1016/j.compag.2020.105357
Xu, Z., et al.AI-based monitoring for heat stress management in poultryhttps://doi.org/10.1016/j.compag.2021.106395
Yang, J., et al.Real-time monitoring of livestock behavior using IoT sensorshttps://doi.org/10.1016/j.compag.2020.105365
Yin, L., et al.AI-assisted animal health monitoring for smallholder farmshttps://doi.org/10.1016/j.compag.2021.106405
Zhang, X., et al.Integration of IoT and AI for automated livestock monitoringhttps://doi.org/10.1016/j.compag.2020.105373
Zhou, Q., et al.Cloud-based predictive analytics for livestock managementhttps://doi.org/10.1016/j.compag.2021.106415
Zhu, H., et al.AI-based welfare monitoring for layer chickenshttps://doi.org/10.1016/j.compag.2020.105381