Authors : C. V. Nalwade; Ashwini Kanase; Abhishek Kanase; Dudhewar Gauri

Volume/Issue : Volume 11 - 2026, Issue 10 - October

DOI : https://doi.org/10.38124/ijisrt/26Oct796

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The severe degradation of natural pastures, increasing climate variability, and water scarcity are major challenges to sustainable livestock production. Green fodder is an essential nutritional input for dairy cattle, sheep, and goat farming. However, conventional soil-based fodder cultivation requires large land areas, high water consumption, and considerable labor, with a long growth cycle of approximately 45–60 days. Drought and seasonal variations further affect the continuous availability of fresh fodder. Hydroponic fodder production provides a promising alternative by growing nutritious green forage without soil under controlled environmental conditions. Sprouted grains can produce fresh green fodder within approximately seven days, while requiring less land and water than conventional cultivation. The integration of Internet of Things (IoT) technology can further improve system efficiency through automatic monitoring and control of temperature, humidity, water supply, and other environmental parameters. This paper presents a survey of IoT-enabled hydroponic fodder grow chambers, focusing on sensor integration, closed-loop microclimate regulation, automated misting systems, and remote telemetry using the NodeMCU ESP8266 microcontroller. The system provides a low-cost and efficient approach for continuous and sustainable green fodder production.

References :

1. Food and Agriculture Organization (FAO), "The State of Food Security and Nutrition in the World 2023," FAO UN Report, pp. 1-142, 2023.
2. R. K. Naik, "Hydroponic fodder production for livestock: A review," Indian Journal of Animal Nutrition, vol. 31, no. 4, pp. 321-329, 2014.
3. S. A. Bakshi and M. R. Swamy, "Automated controlled environment agriculture: A survey on smart hydroponic technologies," IEEE Access, vol. 9, pp. 112450-112468, 2021.
4. A. K. Singh and A. K. Verma, "Nutritional evaluation of hydroponics maize fodder in dairy cattle," Journal of Animal Physiology and Nutrition, vol. 103, no. 5, pp. 1402-1410, 2019.
5. M. N. Hassan, "Microclimate management in automated fodder chambers using low-cost sensor arrays," Computers and Electronics in Agriculture, vol. 182, p. 106012, 2021.
6. Espressif Systems, "ESP8266EX Technical Reference Manual," Version 1.5, 2022.
7. P. K. Sharma, "Design and operational performance of IoT based smart hydroponic chambers," International Journal of Agricultural and Biological Engineering, vol. 15, no. 2, pp. 45-53, 2022.
8. H. D. Patil and S. R. Deshmukh, "IoT-based microclimate automation in closed chamber hydroponics," IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11520-11529, 2021.
9. A. Sharma et al., "Automated hydroponic fodder unit using low-cost embedded systems," Journal of Cleaner Production, vol. 278, p. 123890, 2021.
10. S. R. Patil and V. M. Deshmukh, "ESP8266-based smart agricultural monitoring system for green fodder growth," Biosystems Engineering, vol. 205, pp. 88-99, 2021.
11. K. Al-Kodmani, "The vertical farm: A review of developments and implications for green fodder cultivation," Buildings, vol. 8, no. 2, p. 24, 2018.
12. R. Kumar et al., "Multispectral canopy analysis in vertical hydroponic systems using Raspberry Pi," Computers and Electronics in Agriculture, vol. 194, p. 106780, 2022.
13. M. Guzman et al., "Solar PV powered automated hydroponic chambers for arid regions," Applied Energy, vol. 302, p. 117560, 2021.
14. T. V. Ramachandra, "Resource-efficient livestock fodder production using precision IoT hydroponics," Renewable and Sustainable Energy Reviews, vol. 150, p. 111450, 2021.
15. J. M. Harris, "Economic evaluation of automated hydroponic fodder systems for smallholder dairy farmers," Agricultural Systems, vol. 189, p. 103050, 2021.
16. B. S. Reddy and K. V. Rao, "Impact of hydroponic fodder on milk yield and nutritional composition in crossbred cows," Tropical Animal Health and Production, vol. 54, no. 3, p. 185, 2022.
17. X. Zhang et al., "Edge-AI computer vision applications for early fungal detection in vertical sprout farming," IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7450-7460, 2023.
18. C. V. Umapathi, K. Vyshnavi, and V. Sahithi, "Monitoring of crop growth parameters using Arduino and ESP8266," in Proc. IEEE ICEFEET, 2022, pp. 1-5.