Innovative Technologies for Sustainable Dairy Development: Implications for Improved Efficiency, Resource Utilization and Environmental Footprints

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Year : 2025 | Volume : 0 | 03 | Page :
    By

    Md. Emran Hossain,

  1. Professor, Department of Animal Science and Nutrition, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Khulshi Chattogram-4225,, , Bangladesh

Abstract

This study explores innovative technologies in dairy farming aimed at enhancing sustainability through improved efficiency, optimized resource utilization, and reduced environmental footprints. As global demand for dairy products increases, the need for sustainable practices has become paramount, particularly in regions where agricultural systems face environmental and resource constraints. The paper examines a range of cutting- edge technologies, including precision feeding systems, genomic selection, automated health monitoring, and waste management solutions. These technologies are evaluated for their potential to reduce feed and water waste, enhance animal health and welfare, and decrease greenhouse gas emissions. Furthermore, the study investigates how advancements in breeding, such as genomic selection and CRISPR-based gene editing, can contribute to higher productivity and resilience in dairy herds. The integration of renewable energy solutions, like solar-powered milking systems and biogas production, is also discussed as a means of reducing dairy farming’s reliance on non-renewable resources. By synthesizing the latest technological developments and their applications, this study provides a comprehensive framework for sustainable dairy production that not only supports economic viability but also addresses the growing concerns of environmental impact and resource conservation. Ultimately, the study highlights the role of technology in creating a more sustainable and resilient dairy industry for the future.

Keywords: Precision feeding, resource optimization, renewable energy, sustainable dairy, waste management, genomic selection, greenhouse gas emissions, automated health monitoring, environmental footprint

How to cite this article:
Md. Emran Hossain. Innovative Technologies for Sustainable Dairy Development: Implications for Improved Efficiency, Resource Utilization and Environmental Footprints. Research and Reviews : A Journal of Biotechnology. 2025; 15(03):-.
How to cite this URL:
Md. Emran Hossain. Innovative Technologies for Sustainable Dairy Development: Implications for Improved Efficiency, Resource Utilization and Environmental Footprints. Research and Reviews : A Journal of Biotechnology. 2025; 15(03):-. Available from: https://journals.stmjournals.com/rrjobt/article=2025/view=233923


References

[1] M. J. M. Van Empel, H. P. S. Makkar, J. Dijkstra, and P. Lund, “Nutritional, technological and managerial parameters for precision feeding to enhance feed nutrient utilization and productivity in different dairy cattle production systems,” CAB Rev. Perspect. Agric. Vet. Sci. Nutr. Nat. Resour., vol. 11, no. 2016, pp. 1–27, 2016, doi: 10.1079/PAVSNNR201611037.

[2] M. A. Gutierrez-Reinoso, P. M. Aponte, and M. Garcia-Herreros, “Genomic analysis, progress and future perspectives in dairy cattle selection: A review,” Animals, vol. 11, no. 3, pp. 1–21, 2021, doi: 10.3390/ani11030599.

[3] M. L. Mueller and A. L. Van Eenennaam, “Synergistic power of genomic selection, assisted reproductive technologies, and gene editing to drive genetic improvement of cattle,” CABI Agric. Biosci., vol. 3, no. 1, p. 13, 2022.

[4] M. A. Islam et al., “Improvement of disease resistance in livestock: application of immunogenomics and CRISPR/Cas9 technology,” Animals, vol. 10, no. 12, p. 2236, 2020.

[5] S. R. Silva, J. P. Araujo, C. Guedes, F. Silva, M. Almeida, and J. L. Cerqueira, “Precision technologies to address dairy cattle welfare: Focus on lameness, mastitis and body condition,” Animals, vol. 11, no. 8, p. 2253, 2021.

[6] C. Pomar, L. Hauschild, G. H. Zhang, J. Pomar, and P. A. Lovatto, “Precision feeding can significantly reduce feeding cost and nutrient excretion in growing animals,” in Modelling nutrient digestion and utilisation in farm animals, Wageningen Academic, 2010, pp. 325–334.

[7] M. F. W. Te Pas, T. Veldkamp, Y. de Haas, A. Bannink, and E. D. Ellen, “Adaptation of livestock to new diets using feed components without competition with human edible protein sources—a review of the possibilities and recommendations,” Animals, vol. 11, no. 8, p. 2293, 2021.

[8] S. Savvidou, M.-A. Karatzia, and B. Kotsampasi, “Feed Additives as Dietary Tools to Improve Welfare Status in Ruminants,” Sustain. Use Feed Addit. Livest., pp. 665–701, 2023, doi: 10.1007/978-3-031-42855-5_22.

[9] R. P. Kataria, “Use of feed additives for reducing greenhouse gas emissions from dairy farms,” Microbiol. Res. (Pavia)., vol. 6, no. 1, p. 6120, 2015.

[10] A. H. Abdula, “Contribution of Hydroponic Feed for Livestock Production and Productivity,” Sci. Front, vol. 3, no. 1, pp. 1–7, 2022, doi: 10.11648/j.sf.20220301.11.

[11] R. Ghorbel and N. Koşum, “Hydroponic fodder production: an alternative solution for feed scarcity,” in 6th International Students Science Congress Proceedings, 2022, pp. 1–9.

[12] D. B. Matuszek and J. B. Królczyk, “Aspects of safety in production of feeds–a review,” Anim. Nutr. Feed Technol., vol. 17, no. 2, pp. 367–385, 2017.

[13] A. Durge et al., “A review on the role of exogenous fibrolytic enzymes in ruminant nutrition,” Curr. J. Appl. Sci. Technol., vol. 41, no. 36, pp. 45–58, 2022.

[14] C. M. Ajila, S. K. Brar, M. Verma, R. D. Tyagi, S. Godbout, and J. R. Valéro, “Bio- processing of agro-byproducts to animal feed,” Crit. Rev. Biotechnol., vol. 32, no. 4, pp. 382–400, 2012, doi: 10.3109/07388551.2012.659172.

[15] P. Sharma, S. Doultani, K. K. Hadiya, L. B. George, and H. N. Highland, “Overview of Marker-assisted Selection in Animal Breeding,” J. Adv. Biol. Biotechnol., vol. 27, no. 5, pp. 303–318, 2024. 19

[16] B. Mebratu, H. Fesseha, and E. Goa, “Embryo transfer in cattle production and its principle and applications,” Int. J. Pharm. Biomed. Res., vol. 7, no. 1, pp. 40–54, 2020.

[17] Z. Liu et al., “Enhancing animal disease resistance, production efficiency, and welfare through precise genome editing,” Int. J. Mol. Sci., vol. 23, no. 13, p. 7331, 2022.

[18] V. K. Yata, S. K. Singh, S. Kumar, T. K. Mohanty, and A. K. Mohanty, “Use of sexed semen for genetic improvement of indigenous dairy cattle and buffaloes productivity,” Indian J. Anim. Sci., vol. 92, no. 7, pp. 797–805, 2022, doi: 10.56093/ijans.v92i7.105407.

[19] G. E. Seidel Jr and J. M. DeJarnette, “Applications and world-wide use of sexed semen in cattle,” Anim. Reprod. Sci., vol. 246, p. 106841, 2022.

[20] K. A. Saravanan, M. Panigrahi, H. Kumar, and B. Bhushan, “Advanced software programs for the analysis of genetic diversity in livestock genomics: a mini review,” Biol. Rhythm Res., vol. 53, no. 3, pp. 358–368, 2022.

[21] I. M. Khan, A. Khan, H. Liu, and M. Z. Khan, “Genetic markers identification for animal production and disease resistance,” 2023, Frontiers Media SA.

[22] W. V Holt and A. R. Pickard, “Role of reproductive technologies and genetic resource banks in animal conservation,” Rev. Reprod., vol. 4, pp. 143–150, 1999.

[23] H. Woelders, J. Windig, and S. J. Hiemstra, “How developments in cryobiology, reproductive technologies and conservation genomics could shape gene banking strategies for (farm) animals,” Reprod. Domest. Anim., vol. 47, pp. 264–273, 2012.

[24] P. Gottardo et al., “A strategy to exploit surrogate sire technology in livestock breeding programs,” G3 Genes, genomes, Genet., vol. 9, no. 1, pp. 203–215, 2019.

[25] T. Meuwissen, B. Hayes, and M. Goddard, “Genomic selection: a paradigm shift in animal breeding,” Anim. Front., vol. 6, no. 1, pp. 6–14, 2016.

[26] K. Džermeikaitė, D. Bačėninaitė, and R. Antanaitis, “Innovations in cattle farming: application of innovative technologies and sensors in the diagnosis of diseases,” Animals, vol. 13, no. 5, p. 780, 2023.

[27] S. Neethirajan, S. K. Tuteja, S.-T. Huang, and D. Kelton, “Recent advancement in biosensors technology for animal and livestock health management,” Biosens. Bioelectron., vol. 98, pp. 398–407, 2017.

[28] D. Kaur and A. K. Virk, “Leveraging IoT for Precision Health Monitoring in Livestock with Artificial Intelligence,” in Data-Driven Farming, Auerbach Publications, 2024, pp. 1–18.

[29] S. Neethirajan, “Recent advances in wearable sensors for animal health management,” Sens. Bio-Sensing Res., vol. 12, pp. 15–29, 2017.

[30] N. Siachos, J. M. Neary, R. F. Smith, and G. Oikonomou, “Automated dairy cattle lameness detection utilizing the power of artificial intelligence; current status quo and future research opportunities,” Vet. J., vol. 304, no. February, p. 106091, 2024, doi: 10.1016/j.tvjl.2024.106091.

[31] M. Taneja, J. Byabazaire, N. Jalodia, A. Davy, C. Olariu, and P. Malone, “Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle,” Comput. Electron. Agric., vol. 171, p. 105286, 2020.

[32] S. Fournel, V. Ouellet, and É. Charbonneau, “Practices for alleviating heat stress of dairy cows in humid continental climates: A literature review,” 2017, mdpi.com. doi: 10.3390/ani7050037.

[33] F. Calegari, L. Calamari, and E. Frazzi, “Misting and fan cooling of the rest area in a dairy barn,” Int. J. Biometeorol., vol. 56, pp. 287–295, 2012.

[34] T. W. Maina, E. A. Grego, P. M. Boggiatto, R. E. Sacco, B. Narasimhan, and J. L. McGill, “Applications of Nanovaccines for Disease Prevention in Cattle,” Front. Bioeng. Biotechnol., vol. 8, p. 608050, 2020, doi: 10.3389/fbioe.2020.608050. 20

[35] S. Bhoj et al., “Mechanization of livestock farms,” in Engineering Applications in Livestock Production, Elsevier, 2024, pp. 207–242. doi: 10.1016/B978-0-323-98385- 3.00007-4.

[36] J. A. Jacobs and J. M. Siegford, “Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare,” 2012, Elsevier. doi: 10.3168/jds.2011-4943.

[37] T. Huybrechts, K. Mertens, J. De Baerdemaeker, B. De Ketelaere, and W. Saeys, “Early warnings from automatic milk yield monitoring with online synergistic control,” J. Dairy Sci., vol. 97, no. 6, pp. 3371–3381, 2014.

[38] M. Zaninelli et al., “First evaluation of infrared thermography as a tool for the monitoring of udder health status in farms of dairy cows,” Sensors, vol. 18, no. 3, p. 862, 2018.

[39] A.-S. Neculai-Valeanu and A.-M. Ariton, “Udder health monitoring for prevention of bovine mastitis and improvement of milk quality,” Bioengineering, vol. 9, no. 11, p. 608, 2022.

[40] R. J. Grindal and D. J. Priest, “Automatic application of teat disinfectant through the milking machine cluster,” J. Dairy Res., vol. 56, no. 4, pp. 579–585, 1989.

[41] M. N. Kinyua, L. E. Rowse, and S. J. Ergas, “Review of small-scale tubular anaerobic digesters treating livestock waste in the developing world,” Renew. Sustain. Energy Rev., vol. 58, pp. 896–910, 2016.

[42] K. Chojnacka and K. Moustakas, “Anaerobic digestate management for carbon neutrality and fertilizer use: A review of current practices and future opportunities,” Biomass and Bioenergy, vol. 180, p. 106991, 2024.

[43] K. Jørgensen and L. S. Jensen, “Chemical and biochemical variation in animal manure solids separated using different commercial separation technologies,” Bioresour. Technol., vol. 100, no. 12, pp. 3088–3096, 2009.

[44] J. S. Triviño-Pineda, A. Sanchez-Rodriguez, and N. P. Peláez, “Biogas production from organic solid waste through anaerobic digestion: A meta-analysis,” Case Stud. Chem. Environ. Eng., vol. 9, no. December 2023, 2024, doi: 10.1016/j.cscee.2024.100618.

[45] Y. Zhou et al., “Recent trends and advances in composting and vermicomposting technologies: A review,” Bioresour. Technol., vol. 360, p. 127591, 2022.

[46] C. M. Mehta, W. O. Khunjar, V. Nguyen, S. Tait, and D. J. Batstone, “Technologies to recover nutrients from waste streams: a critical review,” Crit. Rev. Environ. Sci. Technol., vol. 45, no. 4, pp. 385–427, 2015

[47] K. Kotyal, “Circular agriculture: Sustainable farming practices for zero waste,” Environ. Reports, 2023.

[48] Z. Ullah, M. R. Elkadeem, K. M. Kotb, I. B. M. Taha, and S. Wang, “Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply,” Renew. Energy, vol. 179, pp. 885–910, 2021.

[49] P. Rani, A. Dubey, P. Kumar, and A. Kumar, “Sustainable Renewable Energy Sources for Food and Dairy Processing,” in Food Process Engineering and Technology: Safety, Packaging, Nanotechnologies and Human Health, Springer, 2024, pp. 65–95.

[50] A. Chel and G. Kaushik, “Renewable energy for sustainable agriculture,” Agron. Sustain. Dev., vol. 31, no. 1, pp. 91–118, 2011, doi: 10.1051/agro/2010029.

[51] M. Szyba and J. Mikulik, “Management of biodegradable waste intended for biogas production in a large city,” Energies, vol. 16, no. 10, p. 4039, 2023.

[52] K. A. Nordin and P. W. Zaw, “Lighting and daylighting in livestock buildings for dairy cows,” 2024.

[53] B. Eker, “Solar powered water pumping systems,” Trakia J. Sci., vol. 3, no. 7, pp. 21 | Page 7–11, 2005.

[54] A. Somagond, G. N. Aderao, D. Girimal, and M. Singh, “Animal feeding and watering technologies,” in Engineering Applications in Livestock Production, Elsevier, 2024, pp. 37–62.

[55] A. Raichoudhury, R. S. Mal, R. K. Thakur, S. Mishra, M. Singh, and A. Biswas, “Recycled Wastewater from Sewage Treatment Plants for Sustainable Agriculture,” Sew. Biomass from Wastewater to Energy, pp. 283–325, 2024.

[56] A. H. Jarwar et al., “Performance and evaluation of drip irrigation system, and its future advantages,” J. Biol. Agric. Healthc., vol. 9, no. 9, 2019.

[57] H. B. Glasgow, J. M. Burkholder, R. E. Reed, A. J. Lewitus, and J. E. Kleinman, “Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies,” J. Exp. Mar. Bio. Ecol., vol. 300, no. 1–2, pp. 409–448, 2004.

[58] A. Ahmad and T. Azam, “Water purification technologies,” in Bottled and Packaged Water, Elsevier, 2019, pp. 83–120.

[59] B. Mohammed, M. Gabel, and L. M. Karlsson, “Nutritive values of the drought tolerant food and fodder crop enset,” African J. Agric. Res., vol. 8, no. 20, pp. 2326–2333, 2013.

[60] B. E. Horn, C. R. Hart, and S. I. Paisley, “Management of rangeland livestock under drought,” Ann. Arid Zone, vol. 41, no. 1, pp. 1–23, 2003.

[61] P. Ambazamkandi, G. Thyagarajan, S. Sambasivan, J. Davis, S. Shanmugam, and B. A. Joseph, “Shelter design for different livestock from a climate change perspective,” Clim. Chang. Impact Livest. Adapt. Mitig., pp. 399–424, 2015, doi: 10.1007/978-81- 322-2265-1_23.

[62] K. Sun, H. Liu, H. Fan, T. Liu, and C. Zheng, “Research progress on the application of feed additives in ruminal methane emission reduction: a review,” PeerJ, vol. 9, p. e11151, 2021.

[63] A. Herlin, E. Brunberg, J. Hultgren, N. Högberg, A. Rydberg, and A. Skarin, “Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture,” Animals, vol. 11, no. 3, pp. 1–20, 2021, doi: 10.3390/ani11030829.

[64] E. Romano et al., “Increased Cattle Feeding Precision from Automatic Feeding Systems: Considerations on Technology Spread and Farm Level Perceived Advantages in Italy,” Animals, vol. 13, no. 21, p. 3382, 2023.

[65] M. J. O’Grady and G. M. P. O’Hare, “Modelling the smart farm,” Inf. Process. Agric., vol. 4, no. 3, pp. 179–187, 2017.

[66] A. Khanna, S. Jain, A. Burgio, V. Bolshev, and V. Panchenko, “Blockchain-enabled supply chain platform for Indian dairy industry: Safety and traceability,” Foods, vol. 11, no. 17, p. 2716, 2022.

[67] M. Malik, V. K. Gahlawat, R. S. Mor, and M. K. Singh, “Unlocking dairy traceability: Current trends, applications, and future opportunities,” Futur. Foods, p. 100426, 2024.

[68] S. Saengwong, W. Thannithi, P. Intawicha, and C. Porkaew, “Development of a mobile app for recording and management alert on-farm to supporting beef cattle smallholder farmers,” Int. J. Agric. Technol., vol. 17, no. 2, pp. 697–712, 2021.

[69] A. K. Mohanty, T. K. Rao, M. H. KS, R. Agme, C. Gogoi, and C. M. Velu, “IoT Applications for Livestock Management and Health Monitoring in Modern Farming,” Educ. Adm. Theory Pract., vol. 30, no. 4, pp. 2141–2153, 2024.

[70] N. Veena, V. Jayasravani, and S. N. B, “Fortification of Milk – Current Trends and Novel Approaches,” Dairy in India, vol. 19, no. April, pp. 166–171, 2018.

[71] Q. V Nguyen, B. S. Malau-Aduli, J. Cavalieri, P. D. Nichols, and A. E. O. Malau- Aduli, “Enhancing omega-3 long-chain polyunsaturated fatty acid content of dairy- 22 | Page derived foods for human consumption,” Nutrients, vol. 11, no. 4, p. 743, 2019.

[72] F. Masotti, S. Cattaneo, M. Stuknytė, and I. De Noni, “Current insights into non- thermal preservation technologies alternative to conventional high-temperature short- time pasteurization of drinking milk,” Crit. Rev. Food Sci. Nutr., vol. 63, no. 22, pp. 5643–5660, 2023.

[73] M. E. M. Soutelino, B. C. R. de Oliveira, R. da Silva Rocha, and A. C. de Oliveira Silva, “Flavored Milk,” in Dairy Foods Processing, Springer, 2024, pp. 19–29.

[74] A. Bihola, H. Sharma, M. B. Chaudhary, M. R. Bumbadiya, D. Kumar, and S. Adil, “Recent developments in cheese technologies,” Food Rev. Int., pp. 1–35, 2024, doi: 10.1080/87559129.2024.2426024.

[75] N. Turkmen and S. Ozturkoglu-Budak, “Novel Packaging Technologies in Dairy Products: Principles and Recent Advances,” Technol. Dev. Food Preserv. Process. Storage, pp. 65–85, 2020.

[76] L. W. Turner, M. C. Udal, B. T. Larson, and S. A. Shearer, “Monitoring cattle behavior and pasture use with GPS and GIS,” Can. J. Anim. Sci., vol. 80, no. 3, pp. 405–413, 2000.

[77] K. Z. Mganga, “Impact of grass reseeding technology on rehabilitation of the degraded rangelands: a case study of kibwe£i district, Kenya (Unpublished online data).,” 2009.

[78] V. P. Papanastasis, “Restoration of degraded grazing lands through grazing management: can it work?,” Restor. Ecol., vol. 17, no. 4, pp. 441–445, 2009.

[79] S. Bhunia, A. Bhowmik, R. Mallick, and J. Mukherjee, “Agronomic efficiency of animal-derived organic fertilizers and their effects on biology and fertility of soil: A review,” Agronomy, vol. 11, no. 5, p. 823, 2021, doi: 10.3390/agronomy11050823.

[80] A. Gebremedhin, P. E. Badenhorst, J. Wang, G. C. Spangenberg, and K. F. Smith, “Prospects for measurement of dry matter yield in forage breeding programs using sensor technologies,” Agronomy, vol. 9, no. 2, p. 65, 2019.

[81] H. Liu et al., “Estimating rangeland forage production using remote sensing data from a small unmanned aerial system (sUAS) and planetscope satellite,” Remote Sens., vol. 11, no. 5, p. 595, 2019.

[82] V. Patel, A. Chesmore, C. M. Legner, and S. Pandey, “Trends in workplace wearable technologies and connected‐worker solutions for next‐generation occupational safety, health, and productivity,” Adv. Intell. Syst., vol. 4, no. 1, p. 2100099, 2022.

[83] J. L. Tsong, R. Robert, and S. M. Khor, “Emerging trends in wearable glove-based sensors: A review,” Anal. Chim. Acta, vol. 1262, p. 341277, 2023.

[84] S. D. Arachchige, L. Piyathilaka, J.-H. Sul, and D. M. G. Preethichandra, “A Review of Potential Exoskeletons for the Prevention of Work-Related Musculoskeletal Disorders in Agriculture,” Sensors, vol. 24, no. 21, p. 7026, 2024.

[85] U. Gurnani, S. K. Singh, M. K. Sain, and M. L. Meena, “Ergonomic Analysis of Manual Activities Among Dairy Farm Workers: A Literature Review,” in International Conference of the Indian Society of Ergonomics, Springer, 2021, pp. 661–673.

[86] G. Attard, “Robots in Livestock Management,” in Encyclopedia of Smart Agriculture Technologies, Springer, 2023, pp. 1–12.

[87] M. Bigonah, F. Jamshidi, and D. Marghitu, “Immersive Agricultural Education: Gamifying Learning With Augmented Reality and Virtual Reality,” in Cases on Collaborative Experiential Ecological Literacy for Education, IGI Global, 2024, pp. 26–76.

[88] A. Melak, T. Aseged, and T. Shitaw, “The Influence of Artificial Intelligence Technology on the Management of Livestock Farms,” Int. J. Distrib. Sens. Networks, vol. 2024, no. 1, p. 8929748, 2024.

[89] M. S. Basir, D. Buckmaster, A. Raturi, and Y. Zhang, From pen and paper to digital 23 | Page precision: a comprehensive review of on-farm recordkeeping, vol. 25, no. 5. Springer US, 2024. doi: 10.1007/s11119-024-10172-7.


Ahead of Print Subscription Review Article
Volume 15
03
Received 03/06/2025
Accepted 01/10/2025
Published 10/12/2025
Publication Time 190 Days


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