Enhancing Agricultural Efficiency with Robotics and AI-Powered Autonomous Farming Systems
Keywords:
Robotics, AI-Powered Systems, Autonomous Farming, Precision Agriculture, Farm Automation, Smart Farming Technologies, Machine Learning in Agriculture, Agricultural RoboticsAbstract
This research investigates the influence of robotics and AI-driven autonomous farming systems on improving agricultural efficiency. The primary objectives are to assess how these technologies enhance agricultural efficiency, accuracy, and resource use and to identify their adoption barriers and trends. The study evaluated agricultural robots and AI case studies using secondary data. According to research, automatic labor-intensive jobs and data-driven choices by robots and AI boost precision agricultural productivity, output, and resource consumption. However, upfront costs, complex technology needs, and data management concerns remain. Tackling these problems is essential for achieving fair and equal adoption. The policy implications indicate that integrating these technologies requires financial incentives, training programs, and robust data protection regulations. The research emphasizes the potential of robots and AI to revolutionize agriculture by overcoming these restrictions and capitalizing on new trends. This transformation aims to enhance efficiency and sustainability to meet the increasing global needs.
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Ahmmed, S., Narsina, D., Addimulam, S., & Boinapalli, N. R. (2021). AI-Powered Financial Engineering: Optimizing Risk Management and Investment Strategies. Asian Accounting and Auditing Advancement, 12(1), 37–45. https://4ajournal.com/article/view/96
Allam, A. R., Farhan, K. A., Kommineni, H. P., Deming, C., & Boinapalli, N. R. (2024). Effective Change Management Strategies: Lessons Learned from Successful Organizational Transformations. American Journal of Trade and Policy, 11(1), 17-30. https://doi.org/10.18034/ajtp.v11i1.730
Bilbao-Arechabala, S., Jorge-Hernandez, F. (2021). Security Architecture for Swarms of Autonomous Vehicles in Smart Farming. Applied Sciences, 11(10), 4341. https://doi.org/10.3390/app11104341
Camaréna, S. (2021). Engaging with Artificial Intelligence (AI) with a Bottom-Up Approach for Sustainability: Victorian Farmers Market Association, Melbourne Australia. Sustainability, 13(16), 9314. https://doi.org/10.3390/su13169314
Cirjak, D., Miklecic, I., Lemic, D., Kos, T., Zivkovic, I. P. (2022). Automatic Pest Monitoring Systems in Apple Production under Changing Climatic Conditions. Horticulturae, 8(6), 520. https://doi.org/10.3390/horticulturae8060520
Devarapu, K. (2020). Blockchain-Driven AI Solutions for Medical Imaging and Diagnosis in Healthcare. Technology & Management Review, 5, 80-91. https://upright.pub/index.php/tmr/article/view/165
Devarapu, K. (2021). Advancing Deep Neural Networks: Optimization Techniques for Large-Scale Data Processing. NEXG AI Review of America, 2(1), 47-61.
Devarapu, K., Rahman, K., Kamisetty, A., & Narsina, D. (2019). MLOps-Driven Solutions for Real-Time Monitoring of Obesity and Its Impact on Heart Disease Risk: Enhancing Predictive Accuracy in Healthcare. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 43-55. https://upright.pub/index.php/ijrstp/article/view/160
Dobretsov, R. Y., Dobretsova, S. B., Voinash, S. A., Shcherbakov, A. P., Dolmatov, S. N. (2021). Elements of the Mathematical Support for the Design of an Autonomous Tractor. IOP Conference Series. Earth and Environmental Science, 723(3). https://doi.org/10.1088/1755-1315/723/3/032039
Fadziso, T., Manikyala, A., Kommineni, H. P., & Venkata, S. S. M. G. N. (2023). Enhancing Energy Efficiency in Distributed Systems through Code Refactoring and Data Analytics. Asia Pacific Journal of Energy and Environment, 10(1), 19-28. https://doi.org/10.18034/apjee.v10i1.778
Farhan, K. A., Asadullah, A. B. M., Kommineni, H. P., Gade, P. K., & Venkata, S. S. M. G. N. (2023). Machine Learning-Driven Gamification: Boosting User Engagement in Business. Global Disclosure of Economics and Business, 12(1), 41-52. https://doi.org/10.18034/gdeb.v12i1.774
Farhan, K. A., Onteddu, A. R., Kothapalli, S., Manikyala, A., Boinapalli, N. R., & Kundavaram, R. R. (2024). Harnessing Artificial Intelligence to Drive Global Sustainability: Insights Ahead of SAC 2024 in Kuala Lumpur. Digitalization & Sustainability Review, 4(1), 16-29. https://upright.pub/index.php/dsr/article/view/161
Faux, A-M., Decruyenaere, V., Guillaume, M., Stilmant, D. (2022). Feed Autonomy in Organic Cattle Farming Systems: A Necessary but not Sufficient Lever to be Activated for Economic Efficiency. Organic Agriculture, 12(3), 335-352. https://doi.org/10.1007/s13165-021-00372-0
Gugissa, D. A., Abro, Z., Tefera, T. (2022). Achieving a Climate-Change Resilient Farming System through Push–Pull Technology: Evidence from Maize Farming Systems in Ethiopia. Sustainability, 14(5), 2648. https://doi.org/10.3390/su14052648
Gummadi, J. C. S. (2023). IoT Security in the Banking Sector: Mitigating the Vulnerabilities of Connected Devices and Smart ATMs. Asian Business Review, 13(3), 95-102. https://doi.org/10.18034/abr.v13i3.737
Gummadi, J. C. S. (2024). Cybersecurity in International Trade Agreements: A New Paradigm for Economic Diplomacy. American Journal of Trade and Policy, 11(1), 39-48. https://doi.org/10.18034/ajtp.v11i1.738
Gummadi, J. C. S., Kamisetty, A., Narsina, D., Maddula, S. S. (2025). Foundations of Software Architecture. 1-168. https://www.amazon.com/dp/B0DTNX3D7N
Gummadi, J. C. S., Narsina, D., Karanam, R. K., Kamisetty, A., Talla, R. R., & Rodriguez, M. (2020). Corporate Governance in the Age of Artificial Intelligence: Balancing Innovation with Ethical Responsibility. Technology & Management Review, 5, 66-79. https://upright.pub/index.php/tmr/article/view/157
Gummadi, J. C. S., Thompson, C. R., Boinapalli, N. R., Talla, R. R., & Narsina, D. (2021). Robotics and Algorithmic Trading: A New Era in Stock Market Trend Analysis. Global Disclosure of Economics and Business, 10(2), 129-140. https://doi.org/10.18034/gdeb.v10i2.769
Hassan, S. I., Alam, M. M., Zia, M. Y. I., Rashid, M., Illahi, U. (2022). Rice Crop Counting Using Aerial Imagery and GIS for the Assessment of Soil Health to Increase Crop Yield. Sensors, 22(21), 8567. https://doi.org/10.3390/s22218567
Jose, A., Nandagopalan, S., Akana, C. M. V. S. (2021). Artificial Intelligence Techniques for Agriculture Revolution: A Survey. Annals of the Romanian Society for Cell Biology, 25(4), 2580-2597,2580A.
Kamisetty, A. (2022). AI-Driven Robotics in Solar and Wind Energy Maintenance: A Path toward Sustainability. Asia Pacific Journal of Energy and Environment, 9(2), 119-128. https://doi.org/10.18034/apjee.v9i2.784
Kamisetty, A. (2024). The Role of Cybersecurity in Safeguarding Cross-Border E-Commerce and Economic Growth. Asian Business Review, 14(2), 85-94. https://doi.org/10.18034/abr.v14i2.739
Kamisetty, A., Narsina, D., Rodriguez, M., Kothapalli, S., & Gummadi, J. C. S. (2023). Microservices vs. Monoliths: Comparative Analysis for Scalable Software Architecture Design. Engineering International, 11(2), 99-112. https://doi.org/10.18034/ei.v11i2.734
Kamisetty, A., Onteddu, A. R., Kundavaram, R. R., Gummadi, J. C. S., Kothapalli, S., Nizamuddin, M. (2021). Deep Learning for Fraud Detection in Bitcoin Transactions: An Artificial Intelligence-Based Strategy. NEXG AI Review of America, 2(1), 32-46.
Kommineni, H. P. (2019). Cognitive Edge Computing: Machine Learning Strategies for IoT Data Management. Asian Journal of Applied Science and Engineering, 8(1), 97-108. https://doi.org/10.18034/ajase.v8i1.123
Kommineni, H. P. (2020). Automating SAP GTS Compliance through AI-Powered Reciprocal Symmetry Models. International Journal of Reciprocal Symmetry and Theoretical Physics, 7, 44-56. https://upright.pub/index.php/ijrstp/article/view/162
Kommineni, H. P., Fadziso, T., Gade, P. K., Venkata, S. S. M. G. N., & Manikyala, A. (2020). Quantifying Cybersecurity Investment Returns Using Risk Management Indicators. Asian Accounting and Auditing Advancement, 11(1), 117–128. Retrieved from https://4ajournal.com/article/view/97
Kommineni, H. P., Gade, P. K., Venkata, S. S. M. G. N., & Manikyala, A. (2024). Data-Driven Business Intelligence in Energy Distribution: Analytics and Environment-Focused Approaches. Global Disclosure of Economics and Business, 13(1), 59-72. https://doi.org/10.18034/gdeb.v13i1.779
Kothapalli, S. (2021). Blockchain Solutions for Data Privacy in HRM: Addressing Security Challenges. Journal of Fareast International University, 4(1), 17-25. https://jfiu.weebly.com/uploads/1/4/9/0/149099275/2021_3.pdf
Kothapalli, S. (2022). Data Analytics for Enhanced Business Intelligence in Energy-Saving Distributed Systems. Asia Pacific Journal of Energy and Environment, 9(2), 99-108. https://doi.org/10.18034/apjee.v9i2.781
Kothapalli, S., Gade, P. K., Kommineni, H. P., & Manikyala, A. (2024). DevOps for Software Engineers. Warta Saya. https://wartasaya.com/index.php/press/catalog/book/6
Kothapalli, S., Nizamuddin, M., Talla, R. R., Gummadi, J. C. S. (2024). DevOps and Software Architecture: Bridging the Gap between Development and Operations. American Digits: Journal of Computing and Digital Technologies, 2(1), 51-64.
Kovalev, I. V., Kovalev, D. I., Voroshilova, A. A., Podoplelova, V. A., Borovinsky, D. A. (2022). GERT Analysis of UAV Transport Technological Cycles when Used in Precision Agriculture. IOP Conference Series. Earth and Environmental Science, 1076(1), 012055. https://doi.org/10.1088/1755-1315/1076/1/012055
Kundavaram, R. R., Onteddu, A. R., Nizamuddin, M., & Devarapu, K. (2023). Cybersecurity Risks in Financial Transactions: Implications for Global Trade and Economic Development. Global Disclosure of Economics and Business, 12(2), 53-66. https://doi.org/10.18034/gdeb.v12i2.787
Kundavaram, R. R., Rahman, K., Devarapu, K., Narsina, D., Kamisetty, A., Gummadi, J. C. S., Talla, R. R., Onteddu, A. R., & Kothapalli, S. (2018). Predictive Analytics and Generative AI for Optimizing Cervical and Breast Cancer Outcomes: A Data-Centric Approach. ABC Research Alert, 6(3), 214-223. https://doi.org/10.18034/ra.v6i3.672
Kundavaram, R. R., Roberts, C., Onteddu, A. R., & Devarapu, K. (2024). Sculpting Dynamic Intelligence in E-Commerce Vendor-Customer Relations with Advanced Big Data Analytics Integration. American Journal of Trade and Policy, 11(2), 49-66. https://doi.org/10.18034/ajtp.v11i2.744
Manikyala, A. (2022). Sentiment Analysis in IoT Data Streams: An NLP-Based Strategy for Understanding Customer Responses. Silicon Valley Tech Review, 1(1), 35-47.
Manikyala, A. (2024). Code Refactoring for Energy-Saving Distributed Systems: A Data Analytics Approach. Asia Pacific Journal of Energy and Environment, 11(1), 1-12. https://doi.org/10.18034/apjee.v11i1.780
Manikyala, A., Kommineni, H. P., Allam, A. R., Nizamuddin, M., & Sridharlakshmi, N. R. B. (2023). Integrating Cybersecurity Best Practices in DevOps Pipelines for Securing Distributed Systems. ABC Journal of Advanced Research, 12(1), 57-70. https://doi.org/10.18034/abcjar.v12i1.773
Manikyala, A., Talla, R. R., Gade, P. K., & Venkata, S. S. M. G. N. (2024). Implementing AI in SAP GTS for Symmetric Trade Analytics and Compliance. American Journal of Trade and Policy, 11(1), 31-38. https://doi.org/10.18034/ajtp.v11i1.733
Masi, M., De Rosa, M., Vecchio, Y., Bartoli, L., Adinolfi, F. (2022). The Long Way to Innovation Adoption: Insights From Precision Agriculture. Agricultural and Food Economics, 10(1). https://doi.org/10.1186/s40100-022-00236-5
Mhlanga, D. (2021). Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?. Sustainability, 13(11), 5788. https://doi.org/10.3390/su13115788
Montaud, J-M. (2019). Agricultural Drought Impacts on Crops Sector and Adaptation Options in Mali: A Macroeconomic Computable General Equilibrium Analysis. Environment and Development Economics, 24(5), 506-528. https://doi.org/10.1017/S1355770X19000160
Morrone, S., Dimauro, C., Gambella, F., Cappai, M. G. (2022). Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions. Sensors, 22(12), 4319. https://doi.org/10.3390/s22124319
Narsina, D. (2020). The Integration of Cybersecurity, IoT, and Fintech: Establishing a Secure Future for Digital Banking. NEXG AI Review of America, 1(1), 119-134. https://nexgaireview.weebly.com/uploads/9/9/8/2/9982776/2020.8.pdf
Narsina, D. (2022). Impact of Cybersecurity Threats on Emerging Markets’ Integration into Global Trade Networks. American Journal of Trade and Policy, 9(3), 141-148. https://doi.org/10.18034/ajtp.v9i3.741
Narsina, D., Devarapu, K., Kamisetty, A., Gummadi, J. C. S., Richardson, N., & Manikyala, A. (2021). Emerging Challenges in Mechanical Systems: Leveraging Data Visualization for Predictive Maintenance. Asian Journal of Applied Science and Engineering, 10(1), 77-86. https://doi.org/10.18034/ajase.v10i1.124
Narsina, D., Gummadi, J. C. S., Venkata, S. S. M. G. N., Manikyala, A., Kothapalli, S., Devarapu, K., Rodriguez, M., & Talla, R. R. (2019). AI-Driven Database Systems in FinTech: Enhancing Fraud Detection and Transaction Efficiency. Asian Accounting and Auditing Advancement, 10(1), 81–92. https://4ajournal.com/article/view/98
Narsina, D., Kamisetty, A., Thompson, C. R., & Devarapu, K. (2024). Automation in Advanced Fluid Flow Analysis: Revolutionizing Thermal Management Solutions in Engineering. ABC Journal of Advanced Research, 13(1), 31-44. https://doi.org/10.18034/abcjar.v13i1.786
Narsina, D., Richardson, N., Kamisetty, A., Gummadi, J. C. S., & Devarapu, K. (2022). Neural Network Architectures for Real-Time Image and Video Processing Applications. Engineering International, 10(2), 131-144. https://doi.org/10.18034/ei.v10i2.735
Nizamuddin, M., Devarapu, K., Onteddu, A. R., & Kundavaram, R. R. (2022). Cryptography Converges with AI in Financial Systems: Safeguarding Blockchain Transactions with AI. Asian Business Review, 12(3), 97-106. https://doi.org/10.18034/abr.v12i3.742
Nizamuddin, M., Kamisetty, A., Gummadi, J. C. S., Talla, R. R. (2024). Integrating Neural Networks with Robotics: Towards Smarter Autonomous Systems and Human-Robot Interaction. Robotics Xplore: USA Tech Digest, 1(1), 157-169.
Nizamuddin, M., Kundavaram, R. M. R., Onteddu, A. R., Rodriguez, M., Kothapalli, S., Richardson, N. (2024). A Method for Sculpting Real-Time Intelligence in E-Commerce Vendor-Customer Relations via Advanced Big Data Analytics Integration. Indian Patent (Patent number 202411066117).
Onteddu, A. R., Koehler, S., Kundavaram, R. R., Devarapu, K., Kothapalli, S., & Narsina, D. (2024). Artificial Intelligence in Zero-Knowledge Proofs: Transforming Privacy in Cryptographic Protocols. Engineering International, 12(1), 51-66. https://doi.org/10.18034/ei.v12i1.743
Onteddu, A. R., Rahman, K., Roberts, C., Kundavaram, R. R., Kothapalli, S. (2022). Blockchain-Enhanced Machine Learning for Predictive Analytics in Precision Medicine. Silicon Valley Tech Review, 1(1), 48-60. https://www.siliconvalley.onl/uploads/9/9/8/2/9982776/2022.4
Paul, P. K., Bhuimali, A., Sinha, R. R., Aithal, P. S., Saavedra, R. (2020). Artifcial Intelligence and Robotics in Agriculture and Allied Areas - A Study. International Journal of Bioinformatics and Biological Sciences, 8(1), 1-5. https://doi.org/10.30954/2319-5169.01.2020.2
Ragazou, K., Garefalakis, A., Zafeiriou, E., Passas, I. (2022). Agriculture 5.0: A New Strategic Management Mode for a Cut Cost and an Energy Efficient Agriculture Sector. Energies, 15(9), 3113. https://doi.org/10.3390/en15093113
Richardson, N., Kothapalli, S., Onteddu, A. R., Kundavaram, R. R., & Talla, R. R. (2023). AI-Driven Optimization Techniques for Evolving Software Architecture in Complex Systems. ABC Journal of Advanced Research, 12(2), 71-84. https://doi.org/10.18034/abcjar.v12i2.783
Richardson, N., Manikyala, A., Gade, P. K., Venkata, S. S. M. G. N., Asadullah, A. B. M., & Kommineni, H. P. (2021). Emergency Response Planning: Leveraging Machine Learning for Real-Time Decision-Making. Technology & Management Review, 6, 50-62. https://upright.pub/index.php/tmr/article/view/163
Rodriguez, M., Allam, A. R., Gade, P. K., Manikyala, A., Kommineni, H. P., Venkata, S. G. N. (2024). Customizable Software Framework for Enhancing User Experience across Multiple Devices. Indian Patent (Patent number 202411065491).
Rodriguez, M., Rahman, K., Devarapu, K., Sridharlakshmi, N. R. B., Gade, P. K., & Allam, A. R. (2023). GenAI-Augmented Data Analytics in Screening and Monitoring of Cervical and Breast Cancer: A Novel Approach to Precision Oncology. Engineering International, 11(1), 73-84. https://doi.org/10.18034/ei.v11i1.718
Rodriguez, M., Sridharlakshmi, N. R. B., Boinapalli, N. R., Allam, A. R., & Devarapu, K. (2020). Applying Convolutional Neural Networks for IoT Image Recognition. International Journal of Reciprocal Symmetry and Theoretical Physics, 7, 32-43. https://upright.pub/index.php/ijrstp/article/view/158
Rokade, A. I., Kadu, A. D., Belsare, K. S. (2022). An Autonomous Smart Farming System for Computational Data Analytics using IoT. Journal of Physics: Conference Series, 2327(1), 012019. https://doi.org/10.1088/1742-6596/2327/1/012019
Ruangurai, P., Dailey, M. N., Ekpanyapong, M., Soni, P. (2022). Optimal Vision-based Guidance Row Locating for Autonomous Agricultural Machines. Precision Agriculture, 23(4), 1205-1225. https://doi.org/10.1007/s11119-022-09881-8
Subhalaxmi. (2021). Smart Agriculture using Artificial Intelligence: A Review. i-Manager's Journal on Computer Science, 9(2), 41-50. https://doi.org/10.26634/jcom.9.2.17741
Tabbakh, A., Barpanda, S. S. (2022). Evaluation of Machine Learning Models for Plant Disease Classification Using Modified GLCM and Wavelet Based Statistical Features. Traitement du Signal, 39(6), 1893-1905. https://doi.org/10.18280/ts.390602
Talla, R. R. (2022). Integrating Blockchain and AI to Enhance Supply Chain Transparency in Energy Sectors. Asia Pacific Journal of Energy and Environment, 9(2), 109-118. https://doi.org/10.18034/apjee.v9i2.782
Talla, R. R. (2023). Role of Blockchain in Enhancing Cybersecurity and Efficiency in International Trade. American Journal of Trade and Policy, 10(3), 83-90. https://doi.org/10.18034/ajtp.v10i3.736
Talla, R. R. (2024). Robotic Automation in Thermal Management: Optimizing Heat Transfer for High-Performance Systems. Journal of Fareast International University, 7(1), 1-11. https://hal.science/hal-04895422
Talla, R. R., Addimulam, S., Karanam, R. K., Natakam, V. M., Narsina, D., Gummadi, J. C. S., Kamisetty, A. (2023). From Silicon Valley to the World: U.S. AI Innovations in Global Sustainability. Silicon Valley Tech Review, 2(1), 27-40.
Talla, R. R., Manikyala, A., Gade, P. K., Kommineni, H. P., & Deming, C. (2022). Leveraging AI in SAP GTS for Enhanced Trade Compliance and Reciprocal Symmetry Analysis. International Journal of Reciprocal Symmetry and Theoretical Physics, 9, 10-23. https://upright.pub/index.php/ijrstp/article/view/164
Talla, R. R., Manikyala, A., Nizamuddin, M., Kommineni, H. P., Kothapalli, S., Kamisetty, A. (2021). Intelligent Threat Identification System: Implementing Multi-Layer Security Networks in Cloud Environments. NEXG AI Review of America, 2(1), 17-31.
Talla, R. R., Thompson, C. R., Devarapu, K. (2025). Advanced Robotics: Autonomy, Control, and Intelligence. 1-260. https://www.amazon.com/dp/B0DTM648PJ
Thilakarathne, N. N., Bakar, M. S. A., Abas, E., Yassin, H. (2022). A Cloud Enabled Crop Recommendation Platform for Machine Learning-Driven Precision Farming. Sensors, 22(16), 6299. https://doi.org/10.3390/s22166299
Venkata, S. S. M. G. N., Gade, P. K., Kommineni, H. P., & Ying, D. (2022). Implementing MLOps for Real-Time Data Analytics in Hospital Management: A Pathway to Improved Patient Care. Malaysian Journal of Medical and Biological Research, 9(2), 91-100. https://mjmbr.my/index.php/mjmbr/article/view/692
Venkata, S. S. M. G. N., Gade, P. K., Kommineni, H. P., Manikyala, A., & Boinapalli , N. R. (2022). Bridging UX and Robotics: Designing Intuitive Robotic Interfaces. Digitalization & Sustainability Review, 2(1), 43-56. https://upright.pub/index.php/dsr/article/view/159
Yamin, A. B., Talla, R. R., & Kothapalli, S. (2025). The Intersection of IoT, Marketing, and Cybersecurity: Advantages and Threats for Business Strategy. Asian Business Review, 15(1), 7-16. https://doi.org/10.18034/abr.v15i1.740
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