Revolutionizing Agricultural Machinery: The Role of AI, IoT, and Renewable Energy in Enhancing Efficiency and Sustainability

Authors

  • Pritam Singh Balai Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar, India Author
  • Asaruddin Sheikh Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar, India Author
  • Garima Rabha Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar, India Author
  • Samiran Das Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar, India Author
  • Bhaba Krishna Kuli Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar, India Author
  • Mohit Raj Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar, India Author

DOI:

https://doi.org/10.32628/IJSRST251222626

Abstract

Modern agriculture has seen tremendous development using AI, IoT, and renewable energy, enhancing efficiency and sustainability to tackle resource scarcity, climate change, and food security. AI enables precision farming through autonomous machinery and predictive analytics, optimizing soil health, crop yields, and pest control. IoT integrates sensors and drones to monitor soil moisture, weather, and equipment in real-time, cutting water use by 30% and improving fuel efficiency. Renewable solutions like solar irrigation, biofuels, and electric machinery reduce fossil fuel dependence, lowering emissions. Synergistically, AI optimizes energy use in solar-powered systems, while IoT devices, powered by renewables, enable remote monitoring. Challenges of high costs, infrastructure gaps, and technical barriers, like demand policy support, training, and investment. Together, these innovations promise resilient, resource-efficient agriculture, balancing productivity with planetary health to ensure sustainable food security.

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References

S. Sehgal, S. Aggarwal, P. Kaushik, S. Trehan, and Deepanshu, “Food Sustainability: Challenges and Strategies,” in Sustainable Food Systems (Volume I), M. Thakur, Ed., in World Sustainability Series. , Cham: Springer Nature Switzerland, 2024, pp. 73–103. doi: 10.1007/978-3-031-47122-3_5.

K. P. Nair, “How to Manage Water Use for Sustainable Agriculture?,” in Intelligent Soil Management for Sustainable Agriculture, Cham: Springer International Publishing, 2019, pp. 191–232. doi: 10.1007/978-3-030-15530-8_18.

M. Padhiary and R. Kumar, “Assessing the Environmental Impacts of Agriculture, Industrial Operations, and Mining on Agro-Ecosystems,” in Smart Internet of Things for Environment and Healthcare, M. Azrour, J. Mabrouki, A. Alabdulatif, A. Guezzaz, and F. Amounas, Eds., Cham: Springer Nature Switzerland, 2024, pp. 107–126. doi: 10.1007/978-3-031-70102-3_8.

M. Padhiary, A. Hoque, G. Prasad, K. Kumar, and B. Sahu, “Precision Agriculture and AI-Driven Resource Optimization for Sustainable Land and Resource Management:,” in Smart Water Technology for Sustainable Management in Modern Cities, J. A. Ruiz-Vanoye and O. Díaz-Parra, Eds., IGI Global, 2025, pp. 197–232. doi: 10.4018/979-8-3693-8074-1.ch009.

A. Raza et al., “Impact of Climate Change on Crops Adaptation and Strategies to Tackle Its Outcome: A Review,” Plants, vol. 8, no. 2, p. 34, Jan. 2019, doi: 10.3390/plants8020034.

R. Nishant, M. Kennedy, and J. Corbett, “Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda,” Int. J. Inf. Manag., vol. 53, p. 102104, Aug. 2020, doi: 10.1016/j.ijinfomgt.2020.102104.

M. Padhiary, “Harmony under the Sun: Integrating Aquaponics with Solar-Powered Fish Farming,” in Introduction to Renewable Energy Storage and Conversion for Sustainable Development, vol. 1, AkiNik Publications, 2024, pp. 31–58. [Online]. Available: https://doi.org/10.22271/ed.book.2882

S. S. Atapattu and D. C. Kodituwakku, “Agriculture in South Asia and its implications on downstream health and sustainability: A review,” Agric. Water Manag., vol. 96, no. 3, pp. 361–373, Mar. 2009, doi: 10.1016/j.agwat.2008.09.028.

P. McMahon, “The investment case for ecological farming,” 2016.

E. Talebi and M. K. Nezhad, “Revolutionizing animal sciences: Multifaceted solutions and transformative impact of AI technologies,” CABI Rev., p. cabireviews.2024.0002, Feb. 2024, doi: 10.1079/cabireviews.2024.0002.

W. M. Shaban, A. E. Kabeel, M. El Hadi Attia, and F. M. Talaat, “Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques,” Appl. Therm. Eng., vol. 247, p. 123029, Jun. 2024, doi: 10.1016/j.applthermaleng.2024.123029.

R. F. Colmenares-Quintero, O. C. Valderrama-Riveros, F. Macho-Hernantes, K. E. Stansfield, and J. C. Colmenares-Quintero, “Renewable energy smart sensing system monitoring for off-grid vulnerable community in Colombia,” Cogent Eng., vol. 8, no. 1, p. 1936372, Jan. 2021, doi: 10.1080/23311916.2021.1936372.

R. E. V. Sesay and P. Fang, “Circular Economy in Municipal Solid Waste Management: Innovations and Challenges for Urban Sustainability,” J. Environ. Prot., vol. 16, no. 02, pp. 35–65, 2025, doi: 10.4236/jep.2025.162003.

M. Padhiary, P. Roy, and D. Roy, “The Future of Urban Connectivity: AI and IoT in Smart Cities,” in Sustainable Smart Cities and the Future of Urban Development, S. N. S. Al-Humairi, A. I. Hajamydeen, and A. Mahfoudh, Eds., IGI Global, 2024, pp. 33–66. doi: 10.4018/979-8-3693-6740-7.ch002.

J. M. Keenan, B. D. Trump, W. Hynes, and I. Linkov, “Exploring the Convergence of Resilience Processes and Sustainable Outcomes in Post-COVID, Post-Glasgow Economies,” Sustainability, vol. 13, no. 23, p. 13415, Dec. 2021, doi: 10.3390/su132313415.

M. Padhiary, K. Kumar, N. Hussain, D. Roy, J. A. Barbhuiya, and P. Roy, “Artificial Intelligence in Farm Management: Integrating Smart Systems for Optimal Agricultural Practices,” Int. J. Smart Agric., vol. 3, no. 1, pp. 1–11, Feb. 2025, doi: 10.54536/ijsa.v3i1.3674.

A. Ahmad et al., “AI can empower agriculture for global food security: challenges and prospects in developing nations,” Front. Artif. Intell., vol. 7, p. 1328530, Apr. 2024, doi: 10.3389/frai.2024.1328530.

P. Roy, D. Kumar, and K. Kumar, “Harnessing AI and Emerging Technologies for Sustainable Food Systems: Innovations in Automation and Intelligent Production,” Asian J. Res. Comput. Sci., vol. 18, no. 4, pp. 115–135, Mar. 2025, doi: 10.9734/ajrcos/2025/v18i4611.

C. Ranjan, J. Srinivas, P. S. Balaji, and K. Kumar, “Precision Agriculture: Leveraging Artificial Intelligence and Drones for Eco-Friendly Farming,” in Advances in Environmental Engineering and Green Technologies, M. U. Tariq and R. P. Sergio, Eds., IGI Global, 2025, pp. 175–212. doi: 10.4018/979-8-3693-7483-2.ch007.

M. Padhiary and R. Kumar, “Enhancing Agriculture Through AI Vision and Machine Learning: The Evolution of Smart Farming,” in Advancements in Intelligent Process Automation, D. Thangam, Ed., IGI Global, 2024, pp. 295–324. doi: 10.4018/979-8-3693-5380-6.ch012.

M. Padhiary, “The Convergence of Deep Learning, IoT, Sensors, and Farm Machinery in Agriculture:,” in Advances in Business Information Systems and Analytics, S. G. Thandekkattu and N. R. Vajjhala, Eds., IGI Global, 2024, pp. 109–142. doi: 10.4018/979-8-3693-5498-8.ch005.

R. E. Bohn and C. Terwiesch, “The economics of yield‐driven processes,” J. Oper. Manag., vol. 18, no. 1, pp. 41–59, Dec. 1999, doi: 10.1016/S0272-6963(99)00014-5.

S. R. Saleem, Q. U. Zaman, A. W. Schumann, and S. M. Z. Abbas Naqvi, “Variable rate technologies,” in Precision Agriculture, Elsevier, 2023, pp. 103–122. doi: 10.1016/B978-0-443-18953-1.00010-6.

M. Padhiary, A. K. Kyndiah, R. Kumar, and D. Saha, “Exploration of electrode materials for in-situ soil fertilizer concentration measurement by electrochemical method,” Int. J. Adv. Biochem. Res., vol. 8, no. 4, pp. 539–544, Jan. 2024, doi: 10.33545/26174693.2024.v8.i4g.1011.

K. Kumari, A. Mirzakhani Nafchi, S. Mirzaee, and A. Abdalla, “AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture,” AgriEngineering, vol. 7, no. 3, p. 89, Mar. 2025, doi: 10.3390/agriengineering7030089.

S. K. Devitt, “Cognitive factors that affect the adoption of autonomous agriculture,” 2021, doi: 10.48550/ARXIV.2111.14092.

U. Chukwuma, K. G. Gebremedhin, and D. D. Uyeh, “Imagining AI-driven decision making for managing farming in developing and emerging economies,” Comput. Electron. Agric., vol. 221, p. 108946, Jun. 2024, doi: 10.1016/j.compag.2024.108946.

R. Abiri, N. Rizan, S. K. Balasundram, A. B. Shahbazi, and H. Abdul-Hamid, “Application of digital technologies for ensuring agricultural productivity,” Heliyon, vol. 9, no. 12, p. e22601, Dec. 2023, doi: 10.1016/j.heliyon.2023.e22601.

I. Darnhofer, “Resilience and why it matters for farm management,” Eur. Rev. Agric. Econ., vol. 41, no. 3, pp. 461–484, Jul. 2014, doi: 10.1093/erae/jbu012.

J. U. M. Akbar, S. F. Kamarulzaman, A. J. M. Muzahid, Md. A. Rahman, and M. Uddin, “A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture,” IEEE Access, vol. 12, pp. 4485–4522, 2024, doi: 10.1109/ACCESS.2024.3349418.

A. Priyadarshini et al., “Review of the cutting edge technologies for weed control in field crops,” Int. J. Agric. Biol. Eng., vol. 17, no. 5, pp. 44–57, 2024, doi: 10.25165/j.ijabe.20241705.9019.

M. R. Azghadi et al., “Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes -- A Real-World Case Study,” 2024, arXiv. doi: 10.48550/ARXIV.2401.13931.

M. Padhiary, R. Kumar, and L. N. Sethi, “Navigating the Future of Agriculture: A Comprehensive Review of Automatic All-Terrain Vehicles in Precision Farming,” J. Inst. Eng. India Ser. A, vol. 105, pp. 767–782, Jun. 2024, doi: 10.1007/s40030-024-00816-2.

J. Guo, Z. Yang, M. Karkee, Q. Jiang, X. Feng, and Y. He, “Technology progress in mechanical harvest of fresh market strawberries,” Comput. Electron. Agric., vol. 226, p. 109468, Nov. 2024, doi: 10.1016/j.compag.2024.109468.

S. Balyan, H. Jangir, S. N. Tripathi, A. Tripathi, T. Jhang, and P. Pandey, “Seeding a Sustainable Future: Navigating the Digital Horizon of Smart Agriculture,” Sustainability, vol. 16, no. 2, p. 475, Jan. 2024, doi: 10.3390/su16020475.

S. Getahun, H. Kefale, and Y. Gelaye, “Application of Precision Agriculture Technologies for Sustainable Crop Production and Environmental Sustainability: A Systematic Review,” Sci. World J., vol. 2024, no. 1, p. 2126734, Jan. 2024, doi: 10.1155/2024/2126734.

U. Chukwuma, K. G. Gebremedhin, and D. D. Uyeh, “Imagining AI-driven decision making for managing farming in developing and emerging economies,” Comput. Electron. Agric., vol. 221, p. 108946, Jun. 2024, doi: 10.1016/j.compag.2024.108946.

S. Alharbi, A. Felemban, A. Abdelrahim, and M. Al-Dakhil, “Agricultural and Technology-Based Strategies to Improve Water-Use Efficiency in Arid and Semiarid Areas,” Water, vol. 16, no. 13, p. 1842, Jun. 2024, doi: 10.3390/w16131842.

H. Shahab, M. Iqbal, A. Sohaib, F. Ullah Khan, and M. Waqas, “IoT-based agriculture management techniques for sustainable farming: A comprehensive review,” Comput. Electron. Agric., vol. 220, p. 108851, May 2024, doi: 10.1016/j.compag.2024.108851.

A. Dolinska and P. d’Aquino, “Farmers as agents in innovation systems. Empowering farmers for innovation through communities of practice,” Agric. Syst., vol. 142, pp. 122–130, Feb. 2016, doi: 10.1016/j.agsy.2015.11.009.

M. Aarif K. O., A. Alam, and Y. Hotak, “Smart Sensor Technologies Shaping the Future of Precision Agriculture: Recent Advances and Future Outlooks,” J. Sens., vol. 2025, no. 1, p. 2460098, Jan. 2025, doi: 10.1155/js/2460098.

A. Hoque and M. Padhiary, “Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability,” Asian J. Res. Comput. Sci., vol. 17, no. 10, pp. 95–109, Oct. 2024, doi: 10.9734/ajrcos/2024/v17i10512.

E. Fernandez Villar, “Machine Learning Maintenance Costs Prediction Model for Heavy-duty Alternative Fuel and Diesel Vehicles,” MS, West Virginia University Libraries, 2024. doi: 10.33915/etd.12432.

T. Kunatsa, “The role of artificial intelligence in greening biogas operations,” in Innovations in the Global Biogas industry, Elsevier, 2025, pp. 361–397. doi: 10.1016/B978-0-443-22372-3.00014-5.

A. Ucar, M. Karakose, and N. Kırımça, “Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends,” Appl. Sci., vol. 14, no. 2, p. 898, Jan. 2024, doi: 10.3390/app14020898.

N. Ghoshal and B. K. Tripathy, “Artificial Intelligence Applied to the Management and Operation of Solar Systems,” in Biomass and Solar‐Powered Sustainable Digital Cities, 1st ed., O. V. G. Swathika, K. Karthikeyan, M. S. Dangate, and N. Ravasio, Eds., Wiley, 2024, pp. 317–338. doi: 10.1002/9781394249374.ch19.

Jumoke Agbelusi, Oluwakemi Betty Arowosegbe, Oreoluwa Adesewa Alomaja, Oluwaseun A. Odunfa, and Catherine Ballali, “Strategies for minimizing carbon footprint in the agricultural supply chain: leveraging sustainable practices and emerging technologies,” World J. Adv. Res. Rev., vol. 23, no. 3, pp. 2625–2646, Sep. 2024, doi: 10.30574/wjarr.2024.23.3.2954.

M. Padhiary, S. V. Tikute, D. Saha, J. A. Barbhuiya, and L. N. Sethi, “Development of an IOT-Based Semi-Autonomous Vehicle Sprayer,” Agric. Res., vol. 14, no. 1, pp. 229–239, Mar. 2025, doi: 10.1007/s40003-024-00760-4.

M. E. Alaoui, K. E. Amraoui, L. Masmoudi, A. Ettouhami, and M. Rouchdi, “Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review,” J. Terramechanics, vol. 115, p. 100986, Oct. 2024, doi: 10.1016/j.jterra.2024.100986.

Adebunmi Okechukwu Adewusi, Onyeka Franca Asuzu, Temidayo Olorunsogo, Temidayo Olorunsogo, Ejuma Adaga, and Donald Obinna Daraojimba, “AI in precision agriculture: A review of technologies for sustainable farming practices,” World J. Adv. Res. Rev., no. 1, pp. 2276–2285, Jan. 2024, doi: 10.30574/wjarr.2024.21.1.0314.

A. Hoque, M. Padhiary, G. Prasad, and K. Kumar, “Real-Time Data Processing in Agricultural Robotics:,” in Computer Vision Techniques for Agricultural Advancements, D. J. Bora and R. K. Bania, Eds., IGI Global, 2025, pp. 431–468. doi: 10.4018/979-8-3693-8019-2.ch014.

H. W. Gammanpila, M. A. N. Sashika, and S. V. G. N. Priyadarshani, “Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications,” Adv. Agric., vol. 2024, no. 1, p. 2472111, Jan. 2024, doi: 10.1155/2024/2472111.

P. Gonzalez-De-Santos, R. Fernández, D. Sepúlveda, E. Navas, and M. Armada, “Unmanned Ground Vehicles for Smart Farms,” in Agronomy - Climate Change and Food Security, Amanullah, Ed., IntechOpen, 2020. doi: 10.5772/intechopen.90683.

M. Goel and M. Pandey, “Crop Yield Prediction Using AI: A Review,” in 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India: IEEE, Mar. 2024, pp. 1547–1553. doi: 10.1109/ICDT61202.2024.10489432.

S. K. Dhinesh, P. Nagarajan, M. Raghunath, S. Sundar, N. Dhanushree, and S. Pugazharasu, “AI Based Weed Locating and Deweeding using Agri-Bot,” in 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India: IEEE, Dec. 2023, pp. 1–6. doi: 10.1109/STCR59085.2023.10397025.

D. Aziz et al., “Remote sensing and artificial intelligence: revolutionizing pest management in agriculture,” Front. Sustain. Food Syst., vol. 9, p. 1551460, Feb. 2025, doi: 10.3389/fsufs.2025.1551460.

F. Zidan and D. E. Febriyanti, “Optimizing Agricultural Yields with Artificial Intelligence-Based Climate Adaptation Strategies,” IAIC Trans. Sustain. Digit. Innov. ITSDI, vol. 5, no. 2, pp. 136–147, Feb. 2024, doi: 10.34306/itsdi.v5i2.663.

M. Padhiary, P. Roy, P. Dey, and B. Sahu, “Harnessing AI for Automated Decision-Making in Farm Machinery and Operations: Optimizing Agriculture,” in Advances in Computational Intelligence and Robotics, S. Hai-Jew, Ed., IGI Global, 2024, pp. 249–282. doi: 10.4018/979-8-3693-6230-3.ch008.

S. B. Dhal and D. Kar, “Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization,” Forecasting, vol. 6, no. 4, pp. 925–951, Oct. 2024, doi: 10.3390/forecast6040046.

Md. N. Mowla, N. Mowla, A. F. M. S. Shah, K. M. Rabie, and T. Shongwe, “Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey,” IEEE Access, vol. 11, pp. 145813–145852, 2023, doi: 10.1109/ACCESS.2023.3346299.

S. Revathi, A. Ansari, S. J. Susmi, M. Madhavi, G. M. A., and M. Sudhakar, “Integrating Machine Learning-IoT Technologies Integration for Building Sustainable Digital Ecosystems:,” in Advances in Computational Intelligence and Robotics, T. Kajla, P. Kansra, and N. Singh, Eds., IGI Global, 2024, pp. 259–291. doi: 10.4018/979-8-3693-2432-5.ch012.

M. Bahari, I. Arpaci, O. Der, F. Akkoyun, and A. Ercetin, “Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights,” Sustainability, vol. 16, no. 5, p. 2129, Mar. 2024, doi: 10.3390/su16052129.

A. Ashwini, S. R. Sriram, J. M. Prabhakar, and S. Kadry, “Farming 4.0: Cultivating the Future with Internet of Things Empowered on Smart Agriculture Solutions,” in Networked Sensing Systems, 1st ed., R. K. Dhanaraj, M. Sathyamoorthy, S. Balasubramaniam, and S. Kadry, Eds., Wiley, 2025, pp. 247–271. doi: 10.1002/9781394310890.ch10.

K. Paul et al., “Viable smart sensors and their application in data driven agriculture,” Comput. Electron. Agric., vol. 198, p. 107096, Jul. 2022, doi: 10.1016/j.compag.2022.107096.

B. A. King and K. C. Shellie, “A crop water stress index based internet of things decision support system for precision irrigation of wine grape,” Smart Agric. Technol., vol. 4, p. 100202, Aug. 2023, doi: 10.1016/j.atech.2023.100202.

K. Paul et al., “Viable smart sensors and their application in data driven agriculture,” Comput. Electron. Agric., vol. 198, p. 107096, Jul. 2022, doi: 10.1016/j.compag.2022.107096.

P. Saikia, B. Sahu, G. Prasad, S. Kumar, S. Suman, and K. Kumar, “Smart Infrastructure Systems: A Review of IoT-Enabled Monitoring and Automation in Civil and Agricultural Engineering,” Asian J. Res. Comput. Sci., vol. 18, no. 4, pp. 24–44, Mar. 2025, doi: 10.9734/ajrcos/2025/v18i4606.

M. Doshi and A. Varghese, “Smart agriculture using renewable energy and AI-powered IoT,” in AI, Edge and IoT-based Smart Agriculture, Elsevier, 2022, pp. 205–225. doi: 10.1016/B978-0-12-823694-9.00028-1.

A. O. Ali, M. R. Elmarghany, M. M. Abdelsalam, M. N. Sabry, and A. M. Hamed, “Closed-loop home energy management system with renewable energy sources in a smart grid: A comprehensive review,” J. Energy Storage, vol. 50, p. 104609, Jun. 2022, doi: 10.1016/j.est.2022.104609.

J. Aier, K. K. Panda, N. Siddiqui, and D. Paul, “Potential role of post-harvest management in agribusiness,” BIO Web Conf., vol. 110, p. 04001, 2024, doi: 10.1051/bioconf/202411004001.

J. Aier, K. K. Panda, N. Siddiqui, and D. Paul, “Potential role of post-harvest management in agribusiness,” BIO Web Conf., vol. 110, p. 04001, 2024, doi: 10.1051/bioconf/202411004001.

B. Das, A. Hoque, S. Roy, K. Kumar, A. A. Laskar, and A. S. Mazumdar, “Post-Harvest Technologies and Automation: Al-Driven Innovations in Food Processing and Supply Chains,” Int. J. Sci. Res. Sci. Technol., vol. 12, no. 1, pp. 183–205, Jan. 2025, doi: 10.32628/IJSRST25121170.

A. Mnyanda, H. T. Matsila, and B. Monchusi, “Smart Irrigation System with GSM Module using PIC16F690,” in 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa: IEEE, Nov. 2023, pp. 1–4. doi: 10.1109/ICECET58911.2023.10389440.

M. Padhiary, P. Saikia, P. Roy, N. Hussain, and K. Kumar, “A Review on Advancing Agricultural Efficiency through Geographic Information Systems, Remote Sensing, and Automated Systems,” Cureus J. Eng., Mar. 2025, doi: 10.7759/s44388-024-00559-7.

H. H. Mohamed, “USING A GPS TRACKER IN OPERATING AND MANAGING FARM MACHINERY STATIONS,” Misr J. Agric. Eng., vol. 33, no. 2, pp. 365–382, Apr. 2016, doi: 10.21608/mjae.2016.97840.

S. K. Borah, D. Pal, S. Sarkar, and L. N. Sethi, “AI-Powered Drones for Sustainable Agriculture and Precision Farming:,” in Advances in Environmental Engineering and Green Technologies, S. M. Sadiq, M. M. Ahmad, N. Karunakaran, and A. J. Atapattu, Eds., IGI Global, 2025, pp. 69–98. doi: 10.4018/979-8-3693-9964-4.ch004.

S. Touil, A. Richa, M. Fizir, J. E. Argente García, and A. F. Skarmeta Gómez, “A review on smart irrigation management strategies and their effect on water savings and crop yield,” Irrig. Drain., vol. 71, no. 5, pp. 1396–1416, Dec. 2022, doi: 10.1002/ird.2735.

M. Dayoub, S. Shnaigat, R. Tarawneh, A. Al-Yacoub, F. Al-Barakeh, and K. Al-Najjar, “Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages,” Ruminants, vol. 4, no. 1, pp. 22–46, Jan. 2024, doi: 10.3390/ruminants4010003.

C. Maraveas and T. Bartzanas, “Application of Internet of Things (IoT) for Optimized Greenhouse Environments,” AgriEngineering, vol. 3, no. 4, pp. 954–970, Nov. 2021, doi: 10.3390/agriengineering3040060.

N. Yeasdani et al., “Enhancing agricultural productivity through a semi-autonomous IOT robot in smart farming systems,” Bangladesh J. Agric., vol. 48, no. 2, pp. 94–105, Dec. 2023, doi: 10.3329/bjagri.v48i2.70162.

B. Nath, G. Chen, C. M. O’Sullivan, and D. Zare, “Research and Technologies to Reduce Grain Postharvest Losses: A Review,” Foods, vol. 13, no. 12, p. 1875, Jun. 2024, doi: 10.3390/foods13121875.

D. Saha, M. Padhiary, J. A. Barbhuiya, T. Chakrabarty, and L. N. Sethi, “Development of an IOT based Solenoid Controlled Pressure Regulation System for Precision Sprayer,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 11, no. 7, pp. 2210–2216, 2023, doi: 10.22214/ijraset.2023.55103.

N. H. A. M. Ridzuan, N. F. Marwan, N. Khalid, M. H. Ali, and M.-L. Tseng, “Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve,” Resour. Conserv. Recycl., vol. 160, p. 104879, Sep. 2020, doi: 10.1016/j.resconrec.2020.104879.

M. M. Rahman, I. Khan, D. L. Field, K. Techato, and K. Alameh, “Powering agriculture: Present status, future potential, and challenges of renewable energy applications,” Renew. Energy, vol. 188, pp. 731–749, Apr. 2022, doi: 10.1016/j.renene.2022.02.065.

M. Padhiary, “Bridging the gap: Sustainable automation and energy efficiency in food processing,” Agric. Eng. Today, vol. 47, no. 3, pp. 47–50, 2023, doi: https://doi.org/10.52151/aet2023473.1678.

T. A. Jensen, D. L. Antille, and J. N. Tullberg, “Improving On-farm Energy Use Efficiency by Optimizing Machinery Operations and Management: A Review,” Agric. Res., vol. 14, no. 1, pp. 15–33, Mar. 2025, doi: 10.1007/s40003-024-00824-5.

P. Baker, N. James, R. Myerscough, and A. Conquest, “Decarbonisation of mobile agricultural machinery in Scotland – an evidence review,” Feb. 2023, LUC. doi: 10.7488/ERA/3047.

E. McLennon, B. Dari, G. Jha, D. Sihi, and V. Kankarla, “Regenerative agriculture and integrative permaculture for sustainable and technology driven global food production and security,” Agron. J., vol. 113, no. 6, pp. 4541–4559, Nov. 2021, doi: 10.1002/agj2.20814.

D. Kumar, K. Kumar, P. Roy, and G. Rabha, “Renewable Energy in Agriculture: Enhancing Aquaculture and Post-Harvest Technologies with Solar and AI Integration,” Asian J. Res. Comput. Sci., vol. 17, no. 12, pp. 201–219, Dec. 2024, doi: 10.9734/ajrcos/2024/v17i12539.

M. A. Dayioğlu and U. Turker, “Digital Transformation for Sustainable Future - Agriculture 4.0 : A review,” Tarım Bilim. Derg., Nov. 2021, doi: 10.15832/ankutbd.986431.

A. A. Laskar, “Exploring the Role of Smart Systems in Farm Machinery for Soil Fertility and Crop Productivity,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 12, no. 12, pp. 2063–2075, Dec. 2024, doi: 10.22214/ijraset.2024.66157.

D. A. Ejigu, Y. Tuo, and X. Liu, “Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review,” Front. Nucl. Eng., vol. 3, p. 1355630, Feb. 2024, doi: 10.3389/fnuen.2024.1355630.

D. Balamurali et al., “A solar-powered, internet of things (IoT)-controlled water irrigation system supported by rainfall forecasts utilizing aerosols: a review,” Environ. Dev. Sustain., Jan. 2025, doi: 10.1007/s10668-024-05953-z.

M. Padhiary, “Status of Farm Automation, Advances, Trends, and Scope in India,” Int. J. Sci. Res. IJSR, vol. 13, no. 7, pp. 737–745, Jul. 2024, doi: 10.21275/SR24713184513.

S. Swami, S. Suthar, R. Singh, A. K. Thakur, L. R. Gupta, and V. S. Sikarwar, “Integration of anaerobic digestion with artificial intelligence to optimise biogas plant operation,” Environ. Dev. Sustain., Dec. 2023, doi: 10.1007/s10668-023-04326-2.

R. J. Mahfoud, N. F. Alkayem, Y. Zhang, Y. Zheng, Y. Sun, and H. H. Alhelou, “Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives,” Renew. Sustain. Energy Rev., vol. 178, p. 113267, May 2023, doi: 10.1016/j.rser.2023.113267.

A. Ashwini, S. R. Sriram, J. M. Prabhakar, and S. Kadry, “Farming 4.0: Cultivating the Future with Internet of Things Empowered on Smart Agriculture Solutions,” in Networked Sensing Systems, 1st ed., R. K. Dhanaraj, M. Sathyamoorthy, S. Balasubramaniam, and S. Kadry, Eds., Wiley, 2025, pp. 247–271. doi: 10.1002/9781394310890.ch10.

S. Qazi, B. A. Khawaja, and Q. U. Farooq, “IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends,” IEEE Access, vol. 10, pp. 21219–21235, 2022, doi: 10.1109/ACCESS.2022.3152544.

J. Debnath, K. Kumar, K. Roy, R. D. Choudhury, and A. K. P. U, “Precision Agriculture: A Review of AI Vision and Machine Learning in Soil, Water, and Conservation Practice,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 12, no. 12, pp. 2130–2141, Dec. 2024, doi: 10.22214/ijraset.2024.66166.

A. Hoque, A. S. Mazumder, S. Roy, and K. Kumar, “Transformative Approaches to Agricultural Sustainability: Automation, Smart Greenhouses, and AI,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 13, no. 1, pp. 1011–1023, Jan. 2025, doi: 10.22214/ijraset.2025.66494.

Z. A. Ali, M. Zain, R. Hasan, H. Al Salman, B. F. Alkhamees, and F. A. Almisned, “Circular Economy Advances with Artificial Intelligence and Digital Twin: Multiple-Case Study of Chinese Industries in Agriculture,” J. Knowl. Econ., May 2024, doi: 10.1007/s13132-024-02101-w.

B. B. Balana and M. A. Oyeyemi, “Agricultural credit constraints in smallholder farming in developing countries: Evidence from Nigeria,” World Dev. Sustain., vol. 1, p. 100012, 2022, doi: 10.1016/j.wds.2022.100012.

M. G. M. Almihat and J. L. Munda, “The Role of Smart Grid Technologies in Urban and Sustainable Energy Planning,” Energies, vol. 18, no. 7, p. 1618, Mar. 2025, doi: 10.3390/en18071618.

D. Rajababu, S. Surya, M. Padhiary, and H. Modi, “Blockchain for Cybersecurity_ Securing Data Transactions and Enhancing Privacy in Digital Systems,” in 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), Bhimtal, Nainital, India: IEEE, Feb. 2025, pp. 1426–1430. doi: 10.1109/CE2CT64011.2025.10939863.

M. Padhiary, G. Prasad, A. Hoque, K. Kumar, and B. Sahu, “Advances in Vertical Farming: The Role of Artificial Intelligence and Automation in Sustainable Agriculture,” LatIA, vol. 3, p. 131, Mar. 2025, doi: 10.62486/latia2025131.

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12-04-2025

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