Al-Bahir Journal for Engineering and Pure Sciences
Abstract
Conventional poultry management techniques are failing to meet increased demand for poultry products as the population continues to grow. As a result, this issue has become a major concern for small-scale farmers, particularly those in low-income areas, in terms of food security. One of the main reasons for this is that the farmers rely on intensive farming methods which are inefficient for automating daily poultry operations. However, intensive farming methods pose major environmental concerns to ecosystems and poultry health. Also, the environmental conditions, welfare, and productivity of poultry operations may be harmed by the global climate crisis and poultry waste products can be disastrous to poultry health and need to be managed effectively. This demands for enhanced poultry management systems to alleviate the environmental conditions and boost optimal poultry well-being. This paper presents a compact, low-cost internet of things-based poultry management system for a small –scale farmer. The system employs a synergistic combination of cloud and Internet of Things technologies to monitor and regulate temperature, humidity, water level, ammonia gas concentration, and lighting systems in real time. The hardware prototype was successfully implemented and tested at the Obasanjo poultry farm home in Nigeria. The experimental results demonstrate that the daily temperature is maintained between 27℃ and 32℃. The relative humidity ranges from 71% to 72%, and the ammonia gas (NH3) level increased intermittently for the first three days before remaining steady, reaching a maximum of 30 ppm. The illumination is optimally adjusted using a pre-configured algorithm to promote maximum egg production and poultry health.
Recommended Citation
Okubanjo, Ayodeji Akinsoji; Okakwu, Ignatius Kema; Alao, Olufemi Peter; Lawal, Nurudeen Samuel.; Babalola, Ayoola Abiola; and Olayiwola, Abisola
(2025)
"Sustainable poultry farming: A concept of IoT-based poultry management system for small-scale farmers,"
Al-Bahir Journal for Engineering and Pure Sciences: Vol. 6:
Iss.
2, Article 3.
Available at: https://doi.org/10.55810/2313-0083.1093
References
[1] Spanaki K, Sivarajah U, Fakhimi M, Despoudi S, Irani Z. Disruptive technologies in agricultural operations: a systematic review of AI-driven AgriTech research. Ann Oper Res Jan. 2022;308(1e2):491e524.
[2] Nnoli KP, Benyeogor MS, Olakanmi OO, Umanah DA. The computer farmer concept: human-cyberphysical systems for monitoring and improving agricultural productivity in Nigeria. In: Proc. 2022 IEEE Niger. 4th Int. Conf. Disruptive Technol. Sustain. Dev. NIGERCON 2022. 2; 2022.
[3] Pawlak K, Kołodziejczak M. The role of agriculture in ensuring food security in developing countries: considerations in the context of the problem of sustainable food production. Sustainability Jul. 2020;12(13):5488.
[4] Adeyanju Dolapo, Mburu John, Gituro Wainaina, Chumo Chepchumba, Mignouna Djana, Ogunniyi Adebayo, et al. Assessing food security among young farmers in Africa: evidence from Kenya, Nigeria, and Uganda. Agric Food Econ Feb. 2023;11(1):4.
[5] Yimam HM, Cochrane L, Lemma MD. Not all crops are equal: the impacts of agricultural investment on job creation by crop type and investor type. Heliyon Jul. 2022;8(7): e09851.
[6] Rafael BM. The importance of agricultural development projects: a focus on sustenance and employment creation in Kenya, Malawi, Namibia, Rwanda, and Uganda. J Agric Chem Environ 2023;12(2):152e70.
[7] Adeyanju D, Mburu J, Gituro W, Chumo C, Mignouna D, Mulinganya N. Harnessing the job creation capacity of young rural agripreneurs: a quasi-experimental study of the ENABLE program in Africa. Soc Sci Humanit Open 2024; 9(June 2023):100791.
[8] Sertoglu K, Ugural S, Bekun FV. International journal of economics and financial issues the contribution of agricultural sector on economic growth of Nigeria. Int J Econ Financ Issues 2017;7(1):547e52.
[9] Serna-Loaiza S, Carmona-Garcia E, Cardona CA. Potential raw materials for biorefineries to ensure food security: the Cocoyam case. Ind Crops Prod Dec. 2018;126(September): 92e102.
[10] Voronin BA, Chupina IP, Voronina YV, Kukhar VS, Simachkova NN. About agricultural products, raw materials and food with improved characteristics (scientific commentary on the Federal Law). IOP Conf Ser Earth Environ Sci Jan. 2022;949(1):012025.
[11] Christiaensen L, Martin W. Agriculture, structural transformation and poverty reduction: eight new insights. World Dev Sep. 2018;109:413e6.
[12] Gassner A, Harris D, Mausch K, Terheggen A, Lopes C, Finlayson RF, et al. Poverty eradication and food security through agriculture in Africa: rethinking objectives and entry points. Outlook Agric Dec. 2019;48(4):309e15.
[13] Otekunrin OA, Momoh S, Ayinde IA, Otekunrin OA. How far has Africa gone in achieving sustainable development goals? Exploring African dataset. Data Brief 2019;27: 104647.
[14] Mottet A, Tempio G. Global poultry production: current state and future outlook and challenges. Worlds Poult Sci J 2017;73(2):245e56.
[15] Morchid A, Jebabra R, Khalid HM, El Alami R, Qjidaa H, Ouazzani Jamil M. IoT-based smart irrigation management system to enhance agricultural water security using embedded systems, telemetry data, and cloud computing. Results Eng Sep. 2024;23:102829. [16] Ward AJ, Lewis DM, Green FB. Anaerobic digestion of algae biomass: a review. Algal Res 2014;5(1):204e14. Elsevier.
[17] Morchid A, Muhammad Alblushi IG, Khalid HM, El Alami R, Sitaramanan SR, Muyeen SM. High-technology agriculture system to enhance food security: a concept of smart irrigation system using Internet of Things and cloud computing. J Saudi Soc Agric Sci November 2023, Feb. 2024; 23(8).
[18] Rehman AU, Alamoudi Y, Khalid HM, Morchid A, Muyeen SM, Abdelaziz AY. Smart agriculture technology: an integrated framework of renewable energy resources, IoT-based energy management, and precision robotics. Clean Energy Syst Dec. 2024;9(July):100132.
[19] Said Z, Sharma Prabhakar, Thi Bich Nhuong Quach, Bora Bhaskor J, Lichtfouse Eric, Khalid Haris M, et al. Intelligent approaches for sustainable management and valorisation of food waste. Bioresour Technol Jun. 2023;377: 128952
. [20] Morchid A, El Alami R, Raezah AA, Sabbar Y. Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: benefits and challenges. Ain Shams Eng J 2024;15(3):102509.
[21] Zhivkov T, Sklar EI, Botting D, Pearson S. 5G on the farm: evaluating wireless network capabilities and needs for agricultural robotics. Machines Nov. 2023;11(12):1064.
[22] Li X, Zhang J, Jin W, Liu W. Key technology implementation of poultry breeding system for 5G intelligent IOT. In: 2020 IEEE conference on telecommunications, optics and computer science (TOCS); 2020. p. 372e6.
[23] Alindekon S, Rodenburg TB, Langbein J, Puppe B, Wilmsmeier O, Louton H. Setting the stage to tag ‘n’ track: a guideline for implementing, validating and reporting a radio frequency identification system for monitoring resource visit behavior in poultry. Poult Sci Aug. 2023; 102(8):102799.
[24] Tang R, Aridas NK, Abu Talip MS. Design of wireless sensor network for agricultural greenhouse based on improved zigbee protocol. Agriculture Jul. 2023;13(8):1518.
[25] Okinda Cedric, Nyalala Innocent, Korohou Tchalla, Okinda Celestine, Wang Jintao, Achieng Tracy, et al. A review on computer vision systems in monitoring of poultry: a welfare perspective. Artif Intell Agric 2020;4:184e208.
[26] Campbell Mairead, Miller Paul, Díaz-Chito Katerine, Hong Xin, McLaughlin Niall, Parvinzamir Farzad, et al. A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis. Comput Electron Agric Feb. 2024;217(February 2023): 108591.
[27] Sidarto LP, Hamka A. Improving halal traceability process in the poultry industry utilizing blockchain technology: use case in Indonesia. Front Blockchain December 2021;4:1e8.
[28] Ren G, Lin T, Ying Y, Chowdhary G, Ting KC. Agricultural robotics research applicable to poultry production: a review. Comput Electron Agric Feb. 2020;169(June 2019):105216.
[29] van der Merwe D, Burchfield DR, Witt TD, Price KP, Sharda A. Drones in agriculture. In: Advances in agronomy. 1st ed.vol. 162. Elsevier Inc.; 2020. p. 1e30. [30] Pereira WF, Fonseca L da S, Putti FF, Goes BC, Naves L de P. Environmental monitoring in a poultry farm using an instrument developed with the internet of things concept. Comput Electron Agric Mar. 2020;170(November 2019):105257.
[31] Sakamoto KS, Benincasa NC, Silva IJO, Lobos CMV. The challenges of animal welfare in modern Brazilian poultry farming. J Anim Behav Biometeorol 2020;8(2):131e5.
[32] Goransson L, Lundmark Hedman F. The perks of being an € organic chicken e animal welfare science on the key features of organic poultry production. Front Anim Sci May 2024;5(May):1e15.
[33] An Y, Xing H, Zhang Y, Jia P, Gu X, Teng X. The evaluation of potential immunotoxicity induced by environmental pollutant ammonia in broilers. Poult Sci Aug. 2019;98(8): 3165e75. AL-BAHIR JOURNAL FOR ENGINEERING AND PURE SCIENCES 2025;6:111e132 129
[34] Morchid A, Muhammad Alblushi IG, Khalid HM, El Alami R, Sitaramanan SR, Muyeen SM. High-technology agriculture system to enhance food security: a concept of smart irrigation system using Internet of Things and cloud computing. J Saudi Soc Agric Sci November 2023, 2024;23(8).
[35] Bumanis N, Kviesis A, Tjukova A, Arhipova I, Paura L, Vitols G. Smart poultry management platform with egg production forecast capabilities. Procedia Comput Sci 2022; 217(2022):339e47.
[36] Sanjaya DD, Fadlil A. Monitoring temperature and humidity of boiler chicken cages based on internet of things (IoT). Bul Ilm Sarj Tek Elektro May 2023;5(2):180e9.
[37] Olanubi OO, Akano TT, Asaolu OS. Design and development of an IoT - based intelligent water quality management system for aquaculture. J Electr Syst Inf Technol 2024; 11.
[38] Cassuce DC, Zolnier S, Cecon PR, Vieira MDEFA. Atualizaçao da temperaturas de conforto t ~ ermico para frangos de corte de ate 21 dias de idade. Eng Agr íc 2013; 33(1):28e36.
[39] Kim D-H, Lee Y-K, Kim S-H, Lee K-W. The impact of temperature and humidity on the performance and physiology of laying hens. Animals Dec. 2020;11(1):56.
[40] Liu ZL, Chen Y, Xue JJ, Huang XF, Chen ZP, Wang QG, et al. Effects of ambient temperature on the growth performance, fat deposition, and intestinal morphology of geese from 28 to 49 days of age. Poult Sci May 2022;101(5): 101814
. [41] Sitka A, Szulc P, Smykowski D, Jodkowski W. Application of poultry manure as an energy resource by its gasification in a prototype rotary counterflow gasifier. Renew Energy Sep. 2021;175:422e9.
[42] Price KR, Guerin MT, Barta JR. Success and failure: the role of relative humidity levels and environmental management in liveEimeria vaccination of cage-reared replacement layer pullets. J Appl Poultry Res Sep. 2014;23(3):523e35.
[43] Oluwagbenga EM, Fraley GS. Heat stress and poultry production: a comprehensive review. Poult Sci 2023;102(12): 103141.
[44] Soliman AS, Khafaga MA, Soliman FN, El-Sabrout KM. Effect of different lighting sources on the performance of broiler breeder hens. J Anim Behav Biometeorol Jul. 2023; 11(3):e2023026.
[45] El-Sabrout K, El-Deek A, Ahmad S, Usman M, Dantas MRT, Souza-Junior JBF. Lighting, density, and dietary strategies to improve poultry behavior, health, and production. J Anim Behav Biometeorol 2022;10(1):1e17.
[46] Purswell JL, Olanrewaju HA, Linhoss JE. Effect of light intensity adjusted for species-specific spectral sensitivity on live performance and processing yield of male broiler chickens. J Appl Poultry Res Dec. 2018;27(4):570e6.
[47] Raccoursier M, Thaxton YV, Christensen K, Aldridge DJ, Scanes CG. Light intensity preferences of broiler chickens: implications for welfare. Animal 2019;13(12):2857e63.
[48] Bahuti M, Yanagi Junior T, Fassani EJ, Ribeiro BPVB, de Lima RR, Campos AT. Evaluation of different light intensities on the well-being, productivity, and eggs quality of laying hens. Comput Electron Agric Dec. 2023; 215(Decemer):108423.
[49] Takeshima K, Hanlon C, Sparling B, Korver DR, Bedecarrats GY. Spectrum lighting during pullet rearing and its impact on subsequent production performance in layers. J Appl Poultry Res Dec. 2019;28(4):1262e78.
[50] Leeson S, Caston LJ, Summers JD. Performance of layers given two-hour midnight lighting as growing pullets. J Appl Poultry Res Oct. 2003;12(3):313e20.
[51] Nissa Shaista S, Sheikh Islam U, Altaie Hayman AA, Adil Sheikh, Banday Mohammad T, Kamal Mahmoud, et al. Impacts of various lighting programs on chicken production and behavior e a review. Ann Anim Sci Oct. 2024;24(4): 1065e79.
[52] Swelum Ayman A, El-Saadony Mohamed T, Abd ElHack Mohamed E, Abo Ghanima Mahmoud M, Shukry Mustafa, Alhotan Rashed A, et al. Ammonia emissions in poultry houses and microbial nitrification as a promising reduction strategy. Sci Total Environ 2021;781(2): 146978. Elsevier B.V.
[53] Sheikh IU. Ammonia production in the poultry houses and its harmful effects. Worlds Poult Sci J 2018;40(2): 99e113.
[54] Mohammad Al-Kerwi MS, Mardenli O, Mahdi Jasim MR, Al-Majeed MA. Effects of harmful gases emitted from poultry houses on productive and health performance. IOP Conf Ser Earth Environ Sci Jul. 2022;1060(1):012082. [55] Bist RB, Subedi S, Chai L, Yang X. Ammonia emissions, impacts, and mitigation strategies for poultry production: a critical review. J Environ Manag Feb. 2023;328:116919.
[56] El Sabry MI, Romeih ZU, Stino FKR, Khosht AR, Aggrey SE. Water scarcity can be a critical limitation for the poultry industry. Trop Anim Health Prod Jun. 2023;55(3):215.
[57] Di Martino G, Piccirillo A, Giacomelli M, Comin D, Gallina A, Capello K, et al. Microbiological, chemical and physical quality of drinking water for commercial turkeys: a cross-sectional study. Poult Sci 2018;97(8):2880e6. [58] Dirk Van Der Klis J, De Lange L. Water intake of poultry. Proc 19th Eur Symp Poult Nutr 2013;(July):1e10
. [59] Ojo RO, Ajayi AO, Owolabi HA, Oyedele LO, Akanbi LA. Internet of Things and Machine Learning techniques in poultry health and welfare management: a systematic literature review. Comput Electron Agric Sep. 2022;200(1): 107266.
[60] Oluwagbenga EM, Fraley GS. Heat stress and poultry production: a comprehensive review. Poult Sci Dec. 2023; 102(12):103141.
[61] Ahmed G, Malick RAS, Akhunzada A, Zahid S, Sagri MR, Gani A. An approach towards IoT-based predictive service for early detection of diseases in poultry chickens. Sustainability Dec. 2021;13(23):13396.
[62] Ojo RO, Ajayi AO, Owolabi HA, Oyedele LO, Akanbi LA. Internet of Things and Machine Learning techniques in poultry health and welfare management: a systematic literature review. Comput Electron Agric Sep. 2022;200(July 2022):107266.
[63] Ojo RO, Ajayi AO, Owolabi HA, Oyedele LO, Akanbi LA. Internet of Things and Machine Learning techniques in poultry health and welfare management: a systematic literature review. Comput Electron Agric Sep. 2022;200(7S): 107266.
[64] Xu J, Gu B, Tian G. Review of agricultural IoT technology. Artif Intell Agric 2022;6:10e22.
[65] Ojo RO, Ajayi AO, Owolabi HA, Oyedele LO, Akanbi LA. Internet of Things and Machine Learning techniques in poultry health and welfare management: a systematic literature review. Comput Electron Agric 2022;200(July): 107266.
[66] Onibonoje MO. IoT-based synergistic approach for poultry management system. In: 2021 IEEE international IOT, electronics and mechatronics conference (IEMTRONICS); 2021. p. 1e5.
[67] Ahmed MM, Hassanien EE, Hassanien AE. A smart IoTbased monitoring system in poultry farms using chicken behavioural analysis. Internet of Things (Netherlands) 2024; 25(November 2023):101010.
[68] Subeesh A, Mehta CR. Automation and digitization of agriculture using artificial intelligence and internet of things. Artif Intell Agric 2021;5:278e91.
[69] Prabowo MCA, Sayekti I, Astuti S, Nursaputro ST, Supriyati S. Development of an IoT-based egg incubator with PID control system and web application. JOIV Int J Informatics Vis Mar. 2024;8(1):465.
[70] Nicolas RDM, Zhou WS, Kitamura SC, Samonte MJC. An IoT monitoring assistant for chicken layer farms. In: 2019 international conference on information and communication technology convergence (ICTC); 2019. p. 71e5.
[71] Nalendra AK, Priyawaspada H, Nur Fuad M, Mujiono M, Wahyudi D. Monitoring system IoT-broiler chicken cage 130 AL-BAHIR JOURNAL FOR ENGINEERING AND PURE SCIENCES 2025;6:111e132 effectiveness of seeing reactions from chickens. J Phys Conf Ser Jun. 2021;1933(1):012097.
[72] Bose R, Roy S, Mondal H. A novel algorithmic electric power saver strategies for real-time smart poultry farming. e-Prime - Adv Electr Eng Electron Energy 2022;2(July): 100053.
[73] Toppel K, Kaufmann F, Schon H, Gauly M, Andersson R. € Effect of pH-lowering litter amendment on animal-based welfare indicators and litter quality in a European commercial broiler husbandry. Poult Sci Mar. 2019;98(3):1181e9.
[74] Chigwada J, Mazunga F, Nyamhere C, Mazheke V, Taruvinga N. Remote poultry management system for small to medium scale producers using IoT. Sci African Nov. 2022; 18:e01398.
[75] Astill J, Dara RA, Fraser EDG, Roberts B, Sharif S. Smart poultry management: smart sensors, big data, and the internet of things. Comput Electron Agric December 2019; 170:105291. Mar. 2020.
[76] Mandal S, Yadav A, Panme FA, Devi KM, Kumar S.M. S. Adaption of smart applications in agriculture to enhance production. Smart agricultural technology, vol. 7. February. Elsevier B.V.; 2024. p. 100431.
[77] Rajak P, Ganguly A, Adhikary S, Bhattacharya S. Internet of Things and smart sensors in agriculture: scopes and challenges. J Agric Food Res Dec. 2023;14(September):100776.
[78] Quasim MT, Nisa Khair ul, Khan Mohammad Zunnun, Husain Mohammad Shahid, Alam Shadab, Shuaib Mohammed, et al. An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities. J Cloud Comput Nov. 2023; 12(1):158. [79] Milosevic B, Ciric S, Lalic N, Milanovic V, Savic Z, Omerovic I, et al. Machine learning application in growth and health prediction of broiler chickens. Worlds Poult Sci J Sep. 2019;75(3):401e10.
[80] Ali Muhammad, Imran Muhammad, Baig Muhammad Shamim, Shah Adil, Ullah Syed Sajid, Alroobaea Roobaea, et al. Intelligent control shed poultry farm system incorporating with machine learning. IEEE Access 2024;12(April): 58168e80.
[81] Gandhi K I. AIoT-driven edge computing for rural smallscale poultry farming: smart environmental monitoring and anomaly detection for enhanced productivity. Int J Recent Innov Trends Comput Commun Sep. 2023;11(8):44e52.
[82] Debauche O, Mahmoudi S, Mahmoudi SA, Manneback P, Bindelle J, Lebeau F. Edge computing and artificial intelligence for real-time poultry monitoring. Procedia Comput Sci 2020;175(August):534e41.
[83] Reham A Hosny MFA, Alatfeehy Nayera M, Resistance CA, Hosny RA, Alatfeehy NM, Abdelaty MF. Application of artificial intelligence in the management of poultry farms and combating antimicrobial resistance. Egypt J Anim Heal Jul. 2023;3(3):91e102.
[84] Neethirajan S. Artificial intelligence and sensor innovations: enhancing livestock welfare with a human-centric approach. Human-Centric Intell Syst Nov. 2023;4(1):77e92.
[85] Malini T, Aswath DL, Abhishek R, Kirubhakaran R, Anandhamurugan S. IoT based smart poultry farm monitoring. In: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS). 4; 2023. p. 13e8.
[86] Odilov BA, Madraimov, Askariy, Yusupov, Otabek Y, Karimov, Nodir R, Alimova, Rakhima, Yakhshieva, Zukhra Z, et al. Utilizing deep learning and the internet of things to monitor the health of aquatic ecosystems to conserve biodiversity. Nat Eng Sci May 2024;9(1):72e83.
[87] Singh M, Kumar R, Tandon D, Sood P, Sharma M. Artificial intelligence and IoT based monitoring of poultry health: a review. In: 2020 IEEE international conference on communication, networks and satellite (Comnetsat); 2020. p. 50e4.
[88] Manshor N, Abdul Rahiman AR, Yazed MK. IoT based poultry house monitoring. In: 2019 2nd international conference on communication engineering and technology (ICCET); 2019. p. 72e5. February.
[89] Chang Y-S, Tu L-Y. Use of IoT sensors to build an intelligent monitoringand control system for poultry house environment. Sensor Mater Dec. 2023;35(12):3997.
[90] Elmoulat M, Debauche O, Mahmoudi S, Mahmoudi SA, Manneback P, Lebeau F. Edge computing and artificial intelligence for landslides monitoring. Procedia Comput Sci 2020;177(2019):480e7.
[91] Jebari H, Hayani Mechkouri M, Rekiek S, Reklaoui K. Poultry-edge-AI-IoT system for real-time monitoring and predicting by using artificial intelligence. Int J Interact Mob Technol Jun. 2023;17(12):149e70.
[92] Choosumrong S, Raghavan V, Pothong T. Smart poultry farm based on the real-time environment monitoring system using internet of things. Naresuan Agric J 2019;16(2): 18e26.
[93] Phiri H, Kunda D, Phiri J. An IoT smart broiler farming model for low income farmers. Int J Recent Contrib from Eng Sci IT Nov. 2018;6(3):95.
[94] So-In C, Poolsanguan S, Rujirakul K. A hybrid mobile environmental and population density management system for smart poultry farms. Comput Electron Agric 2014;109: 287e301.
[95] Zheng H, Zhang T, Fang C, Zeng J. Design and implementation of poultry farming information management system based on cloud database. 2021.
[96] Sasirekha R, Kaviya R, Saranya G, Mohamed A, Iroda U. Smart poultry house monitoring system using IoT. E3S Web Conf 2023;399.
[97] Corkery G, Ward S, Kenny C, Hemmingway P. Incorporating smart sensing technologies into the poultry industry. J World's Poult Res (JWPR) 2013;3(4):106e28.
[98] Cruz E, Hidalgo-Rodriguez M, Acosta-Reyes AM, Rangel JC, Boniche K. AI-based monitoring for enhanced poultry flock management. Agric 2024;14(12):1e26.
[99] K C K, Subedi K, Sharma S, Paneru P. IoT based smart poultry management system. J ISMAC Mar. 2024;6(1): 39e53.
[100] Vinueza-Naranjo PG, Nascimento-Silva HA, RumipambaZambrano R, Ruiz-Gomes I, Rivas-Lalaleo D, Patil NJ. IoTbased smart agriculture and poultry farms for environmental sustainability and development. May. 2022.
[101] Rajakumar G, Jenifer GG, Kumar TA, Samuel TSA. Design of an energy efficient IoT system for poultry farm management. Singapore: Springer Nature; 2022
. [102] Lashari MH, Karim S, Alhussein M, Hoshu AA, Aurangzeb K, Anwar MS. Internet of Things-based sustainable environment management for large indoor facilities. PeerJ Comput Sci 2023;9.
[103] Andre Rafaela S, Mercante Luiza A, Facure Murilo HM, Sanfelice Rafaela C, Fugikawa-Santos Lucas, Swager Timothy M, et al. Recent progress in amine gas sensors for food quality monitoring: novel architectures for sensing materials and systems. ACS Sens 2022;7(8): 2104e31.
[104] Kumar Mohanty D, Kondala Rao T, S HK, Agme R, Gogoi C, Velu CM. IoT applications for livestock management and health monitoring in modern farming. Theory Into Pract 2024;2024(4):2141e53.
[105] Suberu MY, Bashir N, Mustafa MW. Biogenic waste methane emissions and methane optimization for bioelectricity in Nigeria. Renew Sustain Energy Rev 2013;25: 643e54. Elsevier Ltd.
[106] Issa AA, Majed S, Ameer A, Al-Jawahry HM. IoT and AI in livestock management: a game changer for farmers. E3S Web Conf 2024;491.
[107] Isaac JO. Iot - livestock monitoring and management system. Int J Eng Appl Sci Technol 2021;5(9):254e7.
[108] Nandini B, Mawale KS, Giridhar P. Nanomaterials in agriculture for plant health and food safety: a comprehensive review on the current state of agro-nanoscience. 3 Biotech 2023;13(3):1e21. AL-BAHIR JOURNAL FOR ENGINEERING AND PURE SCIENCES 2025;6:111e132 131
[109] Chhipa H. Applications of nanotechnology in agriculture. 1st ed.vol. 46. Elsevier Ltd.; 2019.
[110] Tas¸tan M. IoT based wearable smart health monitoring system. Celal Bayar Univ J Sci Sep. 2018;14(3):343e50.
[111] Nagar A, Pradeep T. Clean water through nanotechnology: needs, gaps, and fulfillment. ACS Nano 2020;14(6):6420e35.
[112] Otles S, Sahyar BY. Nanotechnology application and emergence in agriculture. Emerg Trends Agri-nanotech Fundam Appl Asp 2018;2(6):204e13.
[113] Feddes JJR, Emmanuel EJ, Zuidhof MJ. Broiler performance, body weight variance, feed and water intake, and carcass quality at different stocking densities. Poult Sci 2002;81(6):774e9.
[114] Lufyagila B, Machuve D, Clemen T. IoT-powered system for environmental conditions monitoring in poultry house: a case of Tanzania. African J Sci Technol Innov Dev Jun. 2022; 14(4):1020e31.
[115] Orakwue SI, Al-Khafaji HMR, Chabuk MZ. IoT based smart monitoring system for efficient poultry farming. Webology Jan. 2022;19(1):4105e12.
[116] Batuto A, Dejeron TB, Dela Cruz P, Samonte MJC. E-poultry: an IoT poultry management system for small farms. In: 2020 IEEE 7th international conference on industrial engineering and applications (ICIEA); 2020. p. 738e42.
[117] Mishra S, Sheikh A, Chore S, Kshirsagar S. IoT based automatic poultry feeding and smart poultry farm system. Int Conf Innov Eng Technol Sci Manag 2019;9(5): 33e6.
[118] Ali Muhammad, Imran Muhammad, Baig Muhammad Shamim, Shah Adil, Ullah Syed Sajid, Alroobaea Roobaea, et al. Intelligent control shed poultry farm system incorporating with machine learning. IEEE Access 2024;12(10): 58168e80.
[119] Tartan EO, Ciflikli C. An android application for geolocation based health monitoring, consultancy and alarm system. Proc - Int Comput Softw Appl Conf 2018;2:341e4.
[120] Renuga Devi N, Suganya T, Vignesh S, Rathish RJ, Nguyen TA, Rajendran S. Animal health monitoring using nanosensor networks. Nanosensors for Smart Agriculture 2022;2022:573e608. Elsevier.
Included in
Computer Engineering Commons, Electrical and Computer Engineering Commons, Poultry or Avian Science Commons
Indexed in: