The agricultural sector faces numerous challenges, including the need for increased productivity, concentrated environmental influence, and improved food security due to a growing global population. Traditional agricultural practices frequently fall short in addressing these issues, foremost due to suboptimal crop yields and inefficient resource management. One of the pressing problems is the difficulty in real-time monitoring of soil health, plant growth, and pest infestations, which can impede timely decision-making and management strategies. Moreover, the use of conventional sensors may be limited by their size, sensitivity, and inability to provide granular data at a low cost, thus calling for innovative solutions that can overcome these limitations. This study delves into the burgeoning field of nanosensors and their transformative potential in agriculture. Nanosensors, defined as sensors with dimensions at the nanoscale, offer unparalleled sensitivity and specificity in detecting various environmental parameters, such as soil moisture, nutrient concentrations, and the presence of pathogens. By integrating nanosensors into agricultural practices, farmers can achieve real-time monitoring of crop health and soil conditions, leading to informed decision-making and increased yield efficiency. This paper reviews recent advancements in nanosensor technology, explores its applications in precision agriculture, and discusses the potential challenges and future directions for implementing these technologies in agronomic settings.

Keywords: Nanotechnology, Agriculture, Nanosensors, Plant Infection, Soil

1. Khadake SB, Patil VJ. Prototype design & development of solar based electric vehicle. 2023 3rd International Conference On Smart Generation Computing, Communication And Networking (Smart Gencon), Bangalore, India. 2023;1–7. doi: 10.1109/Smartgencon60755.2023.10442455. 2. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. Review of AI in power electronics and drive systems. In: 3rd Int Conf Power Electron IoT Appl Renewable Energy Control (PARC). Mathura, India; 2024. pp. 94–99. doi: 10.1109/PARC59193.2024.10486488. 3. Khadake SB. Detecting salient objects of natural scene. In: A Video’s Using Spatio-Temporal Saliency & Colour Map. JournalNX. 2021;2(08):30–35. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/1070 4. Dolli SP, Rathod KS, Waghmare OP, Deshpande AV. An overview of intelligent traffic control system using Plc and use of current data of vehicle travels. JournalNX. 2021;1–4. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/739 5. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. A comprehensive analysis of artificial intelligence integration in electrical engineering. In: 5th Int Conf Mobile Comput Sustain Inform (ICMCSI). Lalitpur, Nepal; 2024. pp. 484–491. doi: 10.1109/ICMCS 2024.00076. 6. Khadake S, Kawade S, Moholkar S, Pawar M. A review of 6G technologies and its advantages over 5G technology. In: Pawar PM, et al. Techno-societal 2022. ICATSA 2022. Springer, Cham; 2024. doi: 10.1007/978-3-031-34644-6_107. 7. Dudgikar AB, Ingalgi AAA, Jamadar AG, Swami OR, Khadake SB, Moholkar SV. Intelligent battery swapping system for electric vehicles with charging stations locator on IoT and cloud platform. Int Adv Res Sci Commun Technol. 2023;3(1):204–208. doi: 10.48175/IJARSCT-7867. Available at: https://ijarsct.co.in/Paper7867.pdf 8. Khadake SB, Padavale PV, Dhere PM, Lingade BM. Automatic hand dispenser and temperature scanner for Covid-19 prevention. Int Adv Res Sci Commun Technol. 2023;3(2):362–367. doi: 10.48175/Ijarsct-11364. Available at https://Ijarsct.Co.In/Paper11364.Pdf 9. Khadake SB. Detecting salient objects of natural scene. In: A Video’s Using Spatio-Temporal Saliency & Colour Map. JournalNX. 2021;2(08):30–35. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/1070. 10. Khadake SB, Kashid PJ, Kawade AM, Khedekar SV, Mallad HM. Electric vehicle technology battery management–review. Int Adv Res Sci Commun Technol. 2023;3(2):319–325. doi: 10.48175/ijarsct-13048. 11. Khadake SB, Chounde A, Gopnarayan BB, Patil KB, Kamble SS. Human health care system: A new approach towards life. Grenze Int J Eng Technol. 2024;10(2):5487–5494. Available At: Https://Thegrenze.Com/Index.Php?Display=Page&View=Journalabstract&Absid=3389&Id=8 12. Khadake SB, Patil VJ, Mallad HM, Gopnarayan BB, Patil KB. Maximize farming productivity through agriculture 4.0 based intelligence, with use of agri tech sense advanced crop monitoring system. Grenze Int J Eng Technol. 2024;10(2):5127–5134. Available At: Https://Thegrenze.Com/Index.Php?Display=Page&View=Journalabstract&Absid=3336&Id=8 13. PK G, R S, NK S, DK M. Solar outdoor air purifier with air quality monitor. JCS. 2022;11(1). doi: 10.26634/jcs.11.1.18879. 14. Kavithamani V, Pradeep G, Janani M, Balasamy K, Rithani B. Advanced grape leaf disease detection using neural network. In: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) 2023. pp. 949–954. IEEE. 15. Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Sayyad Liyakat KK. Implementation and recognition of waste management system with mobility solution in smart cities using internet of things. 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India. 2023;1661–1665. doi: 10.1109/ICAISS58487.2023.10250690. 16. Magadum PK. Machine learning for predicting wind turbine output power in wind energy conversion systems. Grenze Int J Eng Technol. 2024;10(1):2074–2080. Grenze ID: 01.GIJET.10.1.4_1. Available from: https://thegrenze.com/index.php?display=page&view=journal abstract&absid=2514&id=8. 17. Neeraja P, Kumar RG, Kumar MS, Liyakat KKS, Vani MS. DL-based somnolence detection for improved driver safety and alertness monitoring. IEEE Int Conf Comput Power Commun Technol (IC2PCT). 2024. Greater Noida, India. 2024; 589–594. Available from: https://ieeexplore. org/document/10486714. doi: 10.1109/IC2PCT60090.2024.10486714. 18. Kangra K, Singh J. Explainable artificial intelligence: Concepts and current progression. In: Explainable Edge AI: A Futuristic Computing Perspective. Cham: Springer International Publishing; 2022.pp. 1–17. 19. Will M. With ChatGPT, teachers can plan lessons, write emails, and more. What’s the Catch. Education Week. 2023;42(20):7. 20. Veena C, Sridevi M, Liyakat KKS, Saha B, Reddy SR, Shirisha N. HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems. Seventh Int Conf Image Inf Process (ICIIP). Solan, India. 2023. 407–410. Available from: https://ieeexplore.ieee.org/document/10537627. doi: 10.1109/ICIIP61524.2023. 21. Prasad KR, Karanam SR, Ganesh D, Liyakat KKS, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. J High Technol Manag Res. 2024;35(1):100496. doi: 10.1016/j.hitech.2024.100496. 22. Nagrale M, Pol RS, Birajadar GB, Mulani AO. Internet of robotic things in cardiac surgery: An innovative approach. Afr J Biol Sci. 2024;6(6): 709–725 doi: 10.33472/AFJBS.6.6.2024.709-725. 23. Aldao E, Ríos-Otero E, Veiga-López F, González-Jorge H, Balvís E. Railway Inspection and Information Model (RIIM): An intelligent decision-making tool for enhanced infrastructure management. In International Probabilistic Workshop 2024 May 8. Cham: Springer Nature Switzerland. pp. 287–295. 24. Mulani AO, Patil RM. Discriminative appearance model for robust online multiple target tracking. Telematique. 2023;22(1):24–43. 25. Kumar MS, Ganesh D, Turukmane AV, Batta U. Deep convolution neural network based solution for detecting plant diseases. J Pharm Negat Results. 2022;13(Special Issue- I):464–471, 26. Halli UM. Nanotechnology in IoT security. J Nanosci Nanoeng Appl. 2022;12(3):11–16. 27. Bhatt H, Bhushan B, Kumar N. IOT: The current scenario and role of sensors involved in smart agriculture. Int J Recent Technol Eng. 2019;8(4):12011–12023. 28. Kazi KS. Significance and usage of face recognition system. SRJHS&EL. 2017;4 (20):4764–4772. 29. Dixit AJ, Kazi MK. Iris recognition by Daugman’s method. IJLTEMAS. 2015;4(6):90–93. 30. Halli UM. Nanotechnology in E-Vehicle batteries. Int J Nanomater Nanostructures. 2022;8(2):22–27. 31. Kazi K, Kazi K, Hotkar P, Kamble P. Implementation of low power and area efficient carry select adder. Int J Res Eng Sci Manag. 2019;2(4):183–184. 32. Liyakat KK. Detection of malicious nodes in IoT networks based on packet loss using ML. Journal of Mobile Computing, Communications & Mobile Networks. 2022;9(3):9-17p. 33. Karale ND, Jadhav SS, Patil CG, Shaikh HR, Liyakat KKS. Design of vehicle system using CAN protocol. IJRASET. 2020;8(V):1978–1983. doi: 10.22214/ijraset.2020.5321. 34. Argonda UA. Review paper for design and simulation of a Patch antenna by using HFSS. IJTSRD. 2018;2:158–160. 35. Rao NS. A broadband microstrip antenna with capacitive coupling for C-band applications. Int J Creative Res Thoughts (IJCRT). 2018;6(1):1–3. 36. Nagare MS, KS MK. Different Segmentation Techniques for brain tumor detection: A Survey. MM-International society for green, Sustainable Engineering and Management. 2014 Nov;1(14):29-35. 37. Dixit AJ. A review paper on iris recognition. Journal GSD International society for green, Sustainable Engineering and Management. 2014 Nov;1(14):71-81. 38. Nagare MS, KS MK. An efficient algorithm brain tumor detection based on segmentation and thresholding. Journal of Management in Manufacturing and services. 2015;2(17):19–27. 39. Kazi KS, Shirgan SS. Face recognition based on principal component analysis and feed forward neural network. In: National Conference On Emerging Trends In Engineering, Technology, Architecture 2010.pp. 250–253. 40. Shirdale Y, Kazi K, Kazi K. Coplanar capacitive coupled probe fed micro strip antenna for C and X band. Int J Adv Res Comput Commun Eng. 2016;5(4):661–663. 41. Aavula R, Deshmukh AB, Mane VA, Chavhan GH, Liyakat KK. Design and Implementation of sensor and IoT based Remembrance system for closed one. Telematique. 2022:2769–2778. 42. Nikita S, Sanika C, Nagveni K, Sakshi K, KS DK. Announcement system in bus. JIPIRS. 2022;2(6). 43. Kamuni MS, Devasani TP, Nalla LR, Liyakat KK. Fruit quality detection using thermometer. JIPIRS. 2022;2(5). 44. Sorour MT, Abdellatif MA, Ramadan AA, Abo-Ismail AA. Development of roller-based interior wall painting robot. WASET. 2011;59:1785–1792. 45. Altulaihan E, Alismail A, Hafizur Rahman MM, Ibrahim AA. Email security issues, tools, and techniques used in investigation. Sustainability. 2023;15(13):10612. 46. Kapse MM, Patel NR, Narayankar SK, Malvekar SA. Smart grid technology. IJITCE. 2022;2(6):10–17. doi: 10.55529/ijitc.26.10.17. 47. Vaijnath SP, Siddheshwar MP, Pradip MS, Liayakat DK. Smart safety device for women. Int J of Aquatic Science. 2022;13(1):556–560. 48. Nerkar PM, Dhaware BU. Predictive data analytics framework based on Heart Healthcare System (HHS) using machine learning. J Adv Zool. 2023;44(Spec Issue 2):3673–3686. 49. Maithili W. Smart watch system. IJITCE. 2022;2(6):1–9. 50. Kakarwal SN, Deshmukh DR. Performance analysis of face recognition by principal component analysis and feed forward neural network. IJEIR. 2012;1(1):40–45. 51. Kazi Kutubuddin SL. An approach on yarn quality detection for textile industries using image processing. Proceeding of International Conference on Advances in Engineering, Science and Technology, 2016:325–330. 52. Swami D, Thamake SS, Ubale NS, Lokhande PV, Liyakat DK. Sending notification to someone missing you through smart watch. IJITCE. 2022;2(8):19–24. 53. Kalmkar S, Mujawar A, Liyakat DK. 3D E-Commers using AR. IJITCE. 2022;2(6):18–27. 54. Sayyad Liyakat KK. Nanotechnology application in neural growth support system. NTS. 2022;24(2):47–55. 55. Zaki M, Shaheen S, El-Marakeby H. Multiple object detection and localisation system using automatic feature selection. IJSISE. 2015;8(3):146–165. 56. Soomro DM, Keat YW, Baloch MH, Abdullah MN, Radzi NH, Memon ZA. Mitigation of voltage sag caused by unbalanced load by using DFT controlled DVR. In: 2019 IEEE International Conference on Innovative Research and Development (ICIRD) 2019. pp. 1–6. IEEE. 57. Mittal N, Vaidya A, Kapoor S. Object detection and classification using Yolo. Int J Sci Res Eng Trends. 2019;5:562–565. 58. Kazi Kutubuddin SL. Business mode and product life cycle to improve marketing in healthcare units. ECFT. 2022;9(3):1–9. 59. Mulani DA. Effect of rotation and projection on real time hand gesture recognition system for human computer interaction. Journal of The Gujrat Research Society. 2019;21(16):3710-8. 60. Babitha MM, Sushma C, Gudivada VK. Trends of artificial intelligence for online exams in education. INT-JECSE. 2022;14(01):2457–2463. 61. Devi JS, Sreedhar MB, Arulprakash P, Kazi K, Radhakrishnan R. A path towards child-centric artificial intelligence based education. Int J Early Child. 2022;14(3):9915–9922. 62. Sreenivasulu MD, Devi JS, Arulprakash P, Venkataramana S, Kazi KS. Implementation of latest machine learning approaches for students grade prediction. Int J Early Child. 2022;14(3). 63. Warhade NS, Pol RS, Jadhav HM, Mulani AO. Yarn quality detection for textile industries using image processing. J Algebr Stat. 2022;13(3):3465–3472. 64. Pol RS, Deshmukh AB, Jadhav MM, Liyakat KK, Mulani AO. iButton based physical access authorization and security system. J Algebr Stat. 2022;13(3):3822–3829. 65. Mane VA, Pardeshi KP, Kadam DB, K PK. Development of pose invariant face recognition method based on PCA and artificial neural network. J Algebr Stat. 2022;13(3):3676–3684. 66. Liyakat KK, Paradeshi KP, Shaikh JA, Pandyaji KK, Kadam DB. Development of machine learning based epileptic Seizure prediction using web of things (WoT). NeuroQuantology. 2022;20(8):9394. 67. Pardeshi DK. Implementation of fault detection framework for healthcare monitoring system using IoT, sensors in wireless environment. Telematique. 2022;21(1):5451–5460. 68. Kadam DB, Pandyaji KK, Liyakat KKS. Implementation of carry select adder (CSLA) for area, delay and power minimization. Télématique. 2022;21(1):5461–5474. 69. Nivrutti KS, Gund VD, Kazi KS. Multimodal biometrics authentication system using fusion of fingerprint and iris. IJTSRD. 2018;2(6):1282–1286. 70. Liyakat KK. IoT-Based Weather Information Prototype Using WeMos. Journal of Control and Instrumentation Engineering. 2023;9(1):10-22. 71. Patrick EA, Swartzlander EE. Fundamentals of pattern recognition. IEEE Trans Syst Man Cybern. 1973(5):528. 72. Kosgiker GM. Machine learning- based system, food quality inspection and grading in food industry. Int J Food Nutrit Sci. 2018;11(10):723–730. 73. Kazi K, Halli UM, Kosgiker G. Voltage sag mitigation using DVR and ultra capacitor. JoSDC. 2022;9(3):21–31. 74. Chinthamu N, Prasad M. Self-Secure firmware model for Blockchain-Enabled IOT environment to embedded system. Eur Chem Bull. 2023;12(S3):653–660. doi: 10.31838/ecb/2023.12.s3.075. 75. Kazi V. Deep learning, YOLO and RFID based smart billing handcart. JoCES. 2023;13(1):1–8. 76. Liyakat KKS. Analysis for field distribution in optical waveguide using linear Fem method. Journal of Optical communication Electronics, 2023;9(1):23–28. 77. Wu Y, Jin J, Xing X. Multi-target tracking method with flexibility of illumination change. In: 2016 IEEE International Conference on Consumer Electronics-China (ICCE-China) 2016. pp. 1–6. IEEE. 78. Patil RM. Modelo De Apariencia Discriminatorio Para Un Sólido Seguimiento En Línea De Múltiples Objetivos. Telematique, 2023;22(1):24–43. 79. Aishwarya A K. Smart billing cart using RFID, YOLO and deep learning for mall administration. J Instrum Innov Sci. 2023;8(2). 80. Kazi S. Fruit grading, disease detection, and an image processing strategy. Journal of Image Processing and Artificial Intelligence. 2023;9(2):17-34. 81. Sultanabanu Kazi, Mardanali Shaikh, “Machine Learning in the Production Process Control of Metal Melting” J Advance Machines. 2023;8(2). 82. Liyakat KKS. IoT based smart healthcare monitoring. In: Rhituraj Saikia (eds), Liberation of Creativity: Navigating New Frontiers in Multidisciplinary Research, 2023;2:456–477. ISBN: 979-8852143600 83. Liyakat KKS. IoT based substation health monitoring., In: Rhituraj Saikia (eds), Magnification of Research: Advanced Research in Social Sciences and Humanities, 2023;2:160–171. ISBN: 979-8864297803 84. Nerkar PM, Shinde SS, Liyakat KK, Desai S, Kazi SS. Monitoring fresh fruit and food using Iot and machine learning to improve food safety and quality. Tuijin Jishu/J Propuls Technol. 2023;44(3):2927–2931. 85. Liyakat KSS. Arduino based weather monitoring system. JoSH. 2023;8(3):24–29. 86. Gund VD. PIR sensor-based Arduino home security system. J Instrum Innov Sci. 2023;8(3):33–37. 87. Liyakat KKS. Implementation of e-mail security with three layers of authentication. JoOSDT. 2022;9(2):29–35. 88. Kazi S, Shaikh M, Kutubuddin K. Machine Learning in the Production Process Control of Metal Melting. Journal of Advancement in Machines. 2023;8(2). 89. Mishra SB, Liyakat KS, Liyakat KK. AI-Driven IoT (AI IoT) in thermodynamic engineering. JMTMS. 2024;6(1):1–8. 90. Kazi S, Shaikh M, Kutubuddin K. Machine Learning in the Production Process Control of Metal Melting. Journal of Advancement in Machines. 2023;8(2). 91. Mishra SB, Liyakat KS, Liyakat KK. Review of the literature and methodological structure for IoT and PLM integration in the manufacturing sector. JOAM. 2024;9(1):1–5. 92. Mishra Sunil B, Liyakat KS, Liyakat KK. AI-Driven IoT (AI IoT) in Thermodynamic Engineering. JMTMS. 2024;6(1):1-8. 93. Liyakat KKS. Impact of solar penetrations in conventional power systems and generation of harmonic and power quality issues. ARPED. 2024;1(1):10–16. 94. Liyakat S. Intelligent Watering System (IWS) for agricultural land utilising raspberry Pi. RTFM. 2023;10(2):26–31. 95. Dhanwe SS, Abhangrao CM, Liyakat KK. AI-driven IoT in robotics: A review. J Mech Robot. 2024;9(1):41–48. 96. Liyakat KSS, Liyakat KKS. Nanomedicine as a potential therapeutic approach to COVID-19. Int J Appl Nanotechnol. 2023;9(2):27–35. 97. Megha Nagrale M, Rahul S. Pol, Ganesh B. Birajadar, Altaf O. Mulani,). Internet of Robotic Things in Cardiac Surgery: An Innovative Approach, African Journal of Biological Sciences, 2024, Vol 6, Issue 6, pp. 709-725 doi: 10.33472/AFJBS.6.6.2024.709-725 98. Tasnim R, Hussein MR, Hasan MK, Islam S, Akhter F, Farhan A. IOT architecture and its integration with mechatronics. In: Mechatronics: Fundamentals and Applications. Singapore: Springer Nature Singapore; 2024. pp. 101–124.