Implementing precision feeding in Indonesia’s dairy sector: Environmental and socioeconomic impact and adoption challenges

Authors

  • Norma Nuraina Department of Animal Production and Technology, Faculty of Animal Science, Institut Pertanian Bogor, Bogor, West Java 16680, Indonesia
  • Fauzan Muzakki Department Soil Science and Land Resource, Faculty of Agriculture, Institut Pertanian Bogor, Bogor, West Java 16680, Indonesia

DOI:

https://doi.org/10.61511/jipagi.v3i1.2754

Keywords:

dairy farming, environment, Indonesia, precision feeding, socioeconomic

Abstract

Background: Lack of proper feeding management leads to low milk quality and quantity in some countries, such as Indonesia. Precision feeding (PF), as one of the precision livestock farming (PLF) practices, is a potential solution to address this problem. This study aims to describe PF applications and their impacts on environmental and socio-economic dimensions, analyze potential challenges in its implementation in Indonesia, and propose solutions to support future PF adoption. Methods: This study was a literature review initiated by searching scientific articles from three databases (ScienceDirect, MDPI, and ResearchGate), resulting in 16 research articles included in the analysis. Finding: There are four main components of PF: nutrient and feed quality adjustment, feed management, technology use, and data-driven model exploration. PF is associated with environmentally friendly practices and can increase farmers’ profitability. PF also introduces a new perspective in dairy farming due to technological interventions. In Indonesia, challenges in applying PF are related to the farming conditions dominated by smallholder farmers and the lack of stable internet connectivity and coverage. The presence of cooperatives can serve as a bridge between PF practices and smallholder farmers. Conclusion: The PF approach can support sustainable dairy farming in Indonesia, contribute to national goals, and address global challenges to meet increasing demand. Novelty/Originality of this article: This study uniquely integrates evidence on precision feeding in dairy farming with its socio-economic impacts, with a focus on Indonesian smallholder systems, linking feeding practices to profitability, sustainability, and farm management across multiple studies.

References

Adrion, F., Keller, M., Bozzolini, G. B., & Umstatter, C. (2020). Setup, test and validation of a UHF RFID system for monitoring feeding behaviour of dairy cows. Sensors (Switzerland), 20(24), 1–19. https://doi.org/10.3390/s20247035

Adyatama, A., Muktiani, A., & Samsudewa, D. (2024). Correlation between consumption of nutrient with milk production and milk quality in dairy cow. IOP Conference Series: Earth and Environmental Science, 1364(1), 0–7. https://doi.org/10.1088/1755-1315/1364/1/012088

Akintan, O. A., Gebremedhin, K. G., & Uyeh, D. D. (2025). Linking animal feed formulation to milk quantity, quality, and animal health through data-driven decision-making. Animals, 15(2), 162. https://doi.org/10.3390/ani15020162

Akzar, R., Umberger, W., & Peralta, A. (2023). Understanding heterogeneity in technology adoption among Indonesian smallholder dairy farmers. Agribusiness, 39(2), 347–370. https://doi.org/10.1002/agr.21782

Alverina, A., Dapawole, R. R., & Rahma, A. A. S. (2025). Comparison of nutrient content and daily milk production in dairy cows Fed Cipro Plus and Setia Feed concentrates in KPSP Setia Kawan. Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science), 27(2), 88–92. https://doi.org/10.25077/jpi.27.2.88-92.2025

Amalia, R., Aini, R. Q., Paradita, J., & Mirza BR, A. D. (2025). Bridging The digital divide : the role of technology in enhancing rural SMES in Indonesia. Jurnal Ilmu Manajemen Dan Bisnis, 16(1), 27–34. https://doi.org/10.17509/jimb.v16i1.82681

Antari, R., Anggraeny, Y. N., Putri, A. S., Sukmasari, P. K., Mariyono, N. H. K., Aprilliza, M. N., & Ginting, S. (2022). Nutritive and antinutritive contents of Indigofera zollingeriana: Its potency for cattle feed in Indonesia. Livestock Research for Rural Development, 34, 2. http://www.lrrd.org/lrrd34/2/3412risa.html

Ariningsih, E., Erwidodo, Riski Irawan, A., & Purwati Saliem, H. (2022). Dairy cattle manure utilization by smallholder dairy farmers in West Java, Indonesia. E3S Web of Conferences, 361(03013). https://doi.org/10.1051/e3sconf/202236103013

Arshad, J., Rehman, A. U., Othman, M. T., Ahmad, M., Tariq, H. B., Khalid, M. A., Moosa, M. A., Shafiq, M., & Hamam, H. (2022). Deployment of wireless sensor network and iot platform to implement an intelligent animal monitoring system. Sustainability, 14(10): 6249. https://doi.org/10.3390/su14106249

Batistel, F., de Souza, J., Vaz Pires, A., & Santos, F. A. P. (2021). Feeding grazing dairy cows with different energy sources on recovery of human-edible nutrients in milk and environmental impact. Frontiers in Sustainable Food Systems, 5. https://doi.org/10.3389/fsufs.2021.642265

Berthel, R., Simmler, M., Dohme-Meier, F., & Keil, N. (2022). Dairy sheep and goats prefer the single components over the mixed ration. Frontiers in Veterinary Science, 9. https://doi.org/10.3389/fvets.2022.1017669

Bosco, S., Volpi, I., Cappucci, A., Mantino, A., Ragaglini, G., Bonari, E., & Mele, M. (2021). Innovating feeding strategies in dairy sheep farming can reduce environmental impact of ewe milk. Italian Journal of Animal Science, 20(1), 2147–2163. https://doi.org/10.1080/1828051X.2021.2003726

BPS. (2024). Statistik Indonesia 2020, 53,2025, 790. Badan Pusat Statistik. https://www.bps.go.id/publication/2020/04/29/e9011b3155d45d70823c141f/statistik-indonesia-2020.html

Campos, L. M., Ringer, H., Chung, M., & Hanigan, M. D. (2023). Application of a mathematical framework for the optimization of precision-fed dairy cattle diets. Animal, 17, Article 101001. https://doi.org/https://doi.org/10.1016/j.animal.2023.101001

Carroll, A. L., Spangler, M. L., Morris, D. L., & Kononoff, P. J. (2024). Partitioning among-animal variance of energy utilization in lactating Jersey cows. Journal of Dairy Science, 107(10), 7734–7743. https://doi.org/10.3168/jds.2024-24740

Chase, L. E., & Fortina, R. (2023). Environmental and economic responses to precision feed management in dairy cattle diets. Agriculture 13, 5. https://doi.org/10.3390/agriculture13051032

Daryanto, A., Sahara, S., Sinaga, A. R., Probokawuryan, M., Dewi, S., Andik, S., Resti, Y., Azijah, Z., & Sembada, P. (2021). Policy review of dairy industry in Indonesia. Indonesian Centre for Agro-Socioeconomics and Policy Studies (ICASEPS), 1–122. https://www.adelaide.edu.au/global-food/ua/media/2207/resources_policy-review-eng.pdf

Despal., Andini, L. J., Nugraha, E., & Zahera, R. (2021a). Regional Variation accuracy detection of natural grass multi-species as dairy cattle forage using FT-NIRS. International Journal of Dairy Science, 16(4), 153–160. https://doi.org/10.3923/ijds.2021.153.160

Despal, D., Anzhany, D., Permana, I. G., Toharmat, T., Zahera, R., Rofiah, N., Nuraina, N., & Hamidah, A. N. (2021b). Estimation of milk fatty acids health index as milk value added determinant using FT-NIRS. American Journal of Animal and Veterinary Sciences, 16(4), 335–344. https://doi.org/10.3844/AJAVSP.2021.335.344

Duplessis, M., Fadul-Pacheco, L., Santschi, D. E., & Pellerin, D. (2021). Toward precision feeding regarding minerals: what is the current practice in commercial dairy herds in Québec, Canada?. Animals, 11, 5. https://doi.org/10.3390/ani11051320

Duplessis, M., & Royer, I. (2023). Mini-Review: The importance of an integrated approach to assess trace mineral feeding practices in dairy cows. Frontiers in Animal Science, 4(, 1–8. https://doi.org/10.3389/fanim.2023.1155361

Factura, H., Thaise, F., Cimene, A., Mark, I., Nacaya, Q., & Otterpohl, R. (2022). Impacts of urbanization on farming communities of Cagayan De Oro City and pathways to sustain local food production. J. Agric. Res, 60(1), 67–71. https://doi.org/10.15480/882.4271

Fadillah, A., van den Borne, B. H. P., Poetri, O. N., Hogeveen, H., Umberger, W., Hetherington, J., & Schukken, Y. H. (2023). Smallholder milk-quality awareness in Indonesian dairy farms. Journal of Dairy Science, 106(11), 7965–7973. https://doi.org/10.3168/jds.2023-23267

Firman, A., Paturochman, M., Budimulyati, S.L., Hadiana, M. H., Tasripin, D., Suwartapradja, O. S., & Munandar M. (2019). Succession decisions in Indonesia family dairy farm business. Livestock Research for Rural Development. 31, Article 136. http://www.lrrd.org/lrrd31/9/achma31136.html

Froldi, F., Lamastra, L., Trevisan, M., & Moschini, M. (2024). Climate Change and photochemical ozone creation potential impact indicators of cow milk: a comparison of different scenarios for a diet assessment. Animals, 14(12). https://doi.org/10.3390/ani14121725

Ghauri, S., Jackson, E. L., Marinova, D., & Mohammadi, H. (2022). Agricultural cooperatives for managing natural capital to achieve UN Sustainable Development Goals 12–15: A conceptual framework. Journal of Co-Operative Organization and Management, 10(2), Article 100188. https://doi.org/10.1016/j.jcom.2022.100188

Girdziute, L., Besuspariene, E., Nausediene, A., Novikova, A., Leppala, J., & Jakob, M. (2019). Youth ’ s ( Un ) willingness to work in agriculture sector. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.937657

Givens, D. I. (2020). MILK Symposium review: The importance of milk and dairy foods in the diets of infants, adolescents, pregnant women, adults, and the elderly. Journal of Dairy Science, 103(11), 9681–9699. https://doi.org/10.3168/jds.2020-18296

Guinguina, A., Yan, T., Lund, P., Bayat, A. R., Hellwing, A. L. F., & Huhtanen, P. (2020). Between-cow variation in the components of feed efficiency. Journal of Dairy Science, 103(9), 7968–7982. https://doi.org/10.3168/jds.2020-18257

Gulumbe, T. A., & Bhat, V. (2022). Comparative study of economic diversification of dairy farmers with special reference to pune, Maharashtra. Cardiometry, 24, 498–509. https://doi.org/10.18137/cardiometry.2022.24.498509

Hamidah, A. N., Nuraina, N., Despal, D., & Taufik, E. (2021). Pola penyediaan dan rantai pasok pakan serat pada musim kemarau di peternakan rakyat sapi perah, Lembang, Kabupaten Bandung Barat. Livestock and Animal Research, 19(1), 94-107. https://doi.org/10.20961/lar.v19i1.41777

Hennessy, D., Delaby, L., van den Pol-van Dasselaar, A., & Shalloo, L. (2020). Increasing grazing in dairy cow milk production systems in Europe. Sustainability (Switzerland), 12(6), 1–15. https://doi.org/10.3390/su12062443

Jahroh, S., Atmakusuma, J., Harmini, H., & Fadillah, A. (2020). Comparative Analysis of dairy farming management and business model between East Java and West Java, Indonesia. Jurnal Manajemen Dan Agribisnis, 17(1), 96–107. https://doi.org/10.17358/jma.17.1.96

Kalogiannidis, S., Karafolas, S., & Chatzitheodoridis, F. (2024). The key role of cooperatives in sustainable agriculture and agrifood security: evidence from Greece. Sustainability (Switzerland), 16(16), 1–20. https://doi.org/10.3390/su16167202

Kate, M., & Neethirajan, S. (2025). Decoding bovine communication with ai and multimodal systems ∼ advancing sustainable livestock management and precision agriculture. BioRxiv, March, 2025.03.03.641174. https://doi.org/10.1101/2025.03.03.641174

Krampe, C., Serratosa, J., Niemi, J. K., & Ingenbleek, P. T. M. (2021). Consumer perceptions of precision livestock farming—a qualitative study in three european countries. Animals, 11, 5. https://doi.org/10.3390/ani11051221

Lange, M. J., Silva, L. H. P., Zambom, M. A., Soder, K. J., & Brito, A. F. (2024). Feeding alfalfa-grass or red clover–grass mixture baleage: Effect on milk yield and composition, ruminal fermentation and microbiota taxa relative abundance, and nutrient utilization in dairy cows. Journal of Dairy Science, 107(4), 2066–2086. https://doi.org/10.3168/jds.2023-23836

Lee, J. G., Lee, S. S., Alam, M., Lee, S. M., Seong, H. S., Park, M. N., Han, S., Nguyen, H. P., Baek, M. K., Phan, A. T., Dang, C. G., & Nguyen, D. T. (2024). Utilizing 3D point cloud technology with deep learning for automated measurement and analysis of dairy cows. Sensors, 24(3), 1–21. https://doi.org/10.3390/s24030987

Leso, L., Becciolini, V., Rossi, G., Camiciottoli, S., & Barbari, M. (2021). Validation of a commercial collar‐based sensor for monitoring eating and ruminating behaviour of dairy cows. Animals, 11(10), 1–12. https://doi.org/10.3390/ani11102852

Liu, N., Qi, J., An, X., & Wang, Y. (2023). A Review on information technologies applicable to precision dairy farming: focus on behavior, health monitoring, and the precise feeding of dairy cows. Agriculture (Switzerland), 13(10). https://doi.org/10.3390/agriculture13101858

Ma, Y., Hou, Y., Zhang, T., Zhu, X., Fang, Q., & Oenema, O. (2024). Decreasing environmental footprints of dairy production systems through optimization of feed rations and origins. Journal of Cleaner Production, 461, Article 142637. https://doi.org/https://doi.org/10.1016/j.jclepro.2024.142637

Mahboobi, Z., Karimi, N., & Jahanbakhshi, A. (2023). Estimation of microbial protein synthesis in the rumen of growing lambs based on the purine derivative excretions and the dietary forage-to-concentrate ratio. Journal of Advanced Veterinary and Animal Research, 10(3), 385–394. https://doi.org/10.5455/javar.2023.j691

Matzhold, C., Schodl, K., Klimek, P., Steininger, F., & Egger-Danner, C. (2024). A key-feature-based clustering approach to assess the impact of technology integration on cow health in Austrian dairy farms. Frontiers in Animal Science, 5, 1–13. https://doi.org/10.3389/fanim.2024.1421299

Meskini, Z., Rechidi-Sidhoum, N., Yerou, H., Abbad, A., & Homrani, A. (2022). Typology, productivity and socio-economic profile of dairy farms in Mostaganem Province, Algeria. Applied Animal Husbandry & Rural Development, 15, 10–18. https://www.sasas.co.za/AAH&RD/typology-productivity-and-socio-economic-profile-of-dairy-farms-in-mostaganem-province-algeria/

Nedelkov, K., Angelova, T., Krastanov, J., & Mihaylova, M. (2024). Feeding strategies to reduce methane emissions: A review. Bulgarian Journal of Agricultural Science, 30(1), 28–36. https://journal.agrojournal.org/page/en/details.php?article_id=4538

Nuraina, N., Hamidah, A. N., Despal, D., & Taufik, E. (2022). The perception of the farmer on dairy cooperative feed mill logistics service using customer satisfaction index (CSI) and importance-performance analysis (IPA). IOP Conference Series: Earth and Environmental Science, 1001(1). https://doi.org/10.1088/1755-1315/1001/1/012025

Nuraina, N., Hamidah A. N., Despal, D., & Taufik, E. (2021). Supply chain performance and quality measurement of dairy cow concentrate in cooperative toward sustainable productivity: a case study. Bulletin of Animal Science. 45(1), 66–74. https://doi.org/10.21059/buletinpeternak.v45i1.60880

Palma-Molina, P., Hennessy, T., Dillon, E., Onakuse, S., Moran, B., & Shalloo, L. (2023). Evaluating the effects of grass management technologies on the physical, environmental, and financial performance of Irish pasture-based dairy farms. Journal of Dairy Science, 106(9), 6249–6262. https://doi.org/10.3168/jds.2022-23111

Pereira, G. M., Sharpe, K. T., & Heins, B. J. (2021). Evaluation of the RumiWatch system as a benchmark to monitor feeding and locomotion behaviors of grazing dairy cows. Journal of Dairy Science, 104(3), 3736–3750. https://doi.org/10.3168/jds.2020-18952

Priyono., Nurmalina, R., Burhanuddin, & Ilham, N. (2023). Impact of import restrictions policy on dairy supply and demand in Indonesia. Tropical Animal Science Journal, 46(3), 375–381. https://doi.org/10.5398/tasj.2023.46.3.375

Rajput, M. B., Ashwar, B. K., & Vekariya, S. J. (2023). Socio-Economic Status and Constraints Faced By Dairy Farmers. Gujarat Journal of Extension Education, 36(2), 54–63. https://doi.org/10.56572/gjoee.2023.36.2.0010

Riestanti, L. U., Despal, Retnani, Y., & Andarwulan, N. (2024). Unsaturated fat supplemented in the form of Ca-soap and prill fat in dairy cattle ration: in vitro study. BIO Web of Conferences, 123. https://doi.org/10.1051/bioconf/202412301016

Rustiadi, E., Pravitasari, A. E., Setiawan, Y., Mulya, S. P., Pribadi, D. O., & Tsutsumida, N. (2021). Impact of continuous Jakarta megacity urban expansion on the formation of the Jakarta-Bandung conurbation over the rice farm regions. Cities, 111, Article 103000. https://doi.org/10.1016/j.cities.2020.103000

Sharpe, K. T., & Heins, B. J. (2023). Evaluation of a forefront weight scale from an automated calf milk feeder for holstein and crossbred dairy and dairy–beef calves. Animals, 13(11). https://doi.org/10.3390/ani13111752

Silvi, R., Pereira, L. G. R., Paiva, C. A. V, Tomich, T. R., Teixeira, V. A., Sacramento, J. P., Ferreira, R. E. P., Coelho, S. G., Machado, F. S., Campos, M. M., & Dórea, J. R. R. (2021). Adoption of precision technologies by brazilian dairy farms: the farmer’s perception. Animals 11, 12. https://doi.org/10.3390/ani11123488

Soeharsono, S., Mulyati, S., Utama, S., Wurlina, W., Srianto, P., Restiadi, T. I., & Mustofa, I. (2020). Prediction of daily milk production from the linear body and udder morphometry in Holstein Friesian dairy cows. Veterinary World, 13(3), 471–477. https://doi.org/10.14202/vetworld.2020.471-477

Stirling, S., Delaby, L., Mendoza, A., & Fariña, S. (2021). Intensification strategies for temperate hot-summer grazing dairy systems in South America: Effects of feeding strategy and cow genotype. Journal of Dairy Science, 104(12), 12647–12663. https://doi.org/10.3168/jds.2021-20507

van Dijk, M., Morley, T., Rau, M. L., & Saghai, Y. (2021). A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050. Nature Food, 2(7), 494–501. https://doi.org/10.1038/s43016-021-00322-9

Van Emon, M., Sanford, C., & McCoski, S. (2020). Impacts of bovine trace mineral supplementation on maternal and offspring production and health. Animals, 10(12), 1–19. https://doi.org/10.3390/ani10122404

Verdon, M., Field, L., Schütz, K., & Bryant, R. (2025). Invited review: Animal welfare in pasture-based dairy systems—a systematic scoping review to identify progress, priorities, and future directions. Journal of Dairy Science. 9:S0022-0302(25)00814-8. https://doi.org/https://doi.org/10.3168/jds.2025-26981

Wang, Y., Liu, S., Xie, Q., & Ma, Z. (2024). Carbon footprint of a typical crop–livestock dairy farm in Northeast China. Agriculture (Switzerland), 14(10), 1–18. https://doi.org/10.3390/agriculture14101696

Winsten, J. R. (2024). Low-overhead dairy grazing: A specific solution to a vexing problem. Journal of Soil and Water Conservation, 79(2), 27A-31A. https://doi.org/10.2489/jswc.2024.0122A

Yamada, W., Cherney, J., Cherney, D., Runge, T., & Digman, M. (2024). Handheld Near-Infrared Spectroscopy for undried forage quality estimation. In Sensors 24, 16. https://doi.org/10.3390/s24165136

Yanuar, R., & Hoebink, P. (2023). Vertical coordination in indonesian dairy industry: a comparison of performance on milk quality of two regions. Journal of the International Society for Southeast Asian Agricultural Sciences, 29(2), 106–130. http://issaasphil.org/wp-content/uploads/2023/11/9.-Yanuar-and-Hoebick.-2023.-Vertical-coordination-in-Indonesian-dairy-industry-FINAL.pdf

Yu, R., Wei, X., Liu, Y., Yang, F., Shen, W., & Gu, Z. (2024). Research on automatic recognition of dairy cow daily behaviors based on deep learning. Animals, 14, 3. https://doi.org/10.3390/ani14030458

Yu, Z., Liu, Y., Song, Z., Yan, Y., Li, F., Wang, Z., & Tian, F. (2022). Recognition and monitoring of the feeding behavior of dairy cows based on video and TCS-YOLO Model. SSRN Electronic Journal, 1–40. https://doi.org/10.2139/ssrn.4217399

Zahra, W. Al, van Middelaar, C. E., de Boer, I. J. M., & Oosting, S. J. (2020). Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data. Asian-Australasian Journal of Animal Sciences, 33(12), 2039–2049. https://doi.org/10.5713/ajas.20.0089

Zain, M., Tanuwiria, U. H., Syamsu, J. A., Yunilas, Y., Pazla, R., Putri, E. M., Makmur, M., Amanah, U., Shafura, P. O., & Bagaskara, B. (2024). Nutrient digestibility, characteristics of rumen fermentation, and microbial protein synthesis from Pesisir cattle diet containing non-fiber carbohydrate to rumen degradable protein ratio and sulfur supplement. Veterinary World, 17(3), 672–681. https://doi.org/10.14202/vetworld.2024.672-681

Ziaei, S. M., & Amini, M. (2020). Investigation of waste in livestock and poultry industry and methods to improve feed conversion ratio in it. ALKHAS;The Journal of Environment, Agriculture and Biological Sciences, 2(4), 5–12. https://doi.org/10.47176/alkhass.2.4.5

Zuidhof, M. J. (2020). Precision livestock feeding: matching nutrient supply with nutrient requirements of individual animals. Journal of Applied Poultry Research, 29(1), 11–14. https://doi.org/10.1016/j.japr.2019.12.009

Downloads

Published

2026-02-28

How to Cite

Nuraina, N., & Muzakki, F. (2026). Implementing precision feeding in Indonesia’s dairy sector: Environmental and socioeconomic impact and adoption challenges. Jurnal Inovasi Pangan Dan Gizi, 3(1), 41–58. https://doi.org/10.61511/jipagi.v3i1.2754

Issue

Section

Articles

Citation Check