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Title: :  AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring
PaperId: :  27712
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 6 2025
DUI:    16.0415/IJARIIE-27712
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Lavakumar T BSJM institute of technology
Ankith M SSJM institute of technology
Manoj Gowda B SSJM institute of technology
Nagaraj H KSJM institute of technology
Naveen kumar G RSJM institute of technology

Abstract

Electronics and Communication
YOLOv3 performance, Soil moisture, Soil nutrients (NPK), Soil pH, Temperature & humidity, Rain sensor, web dashboard
Artificial intelligence (AI) and sustainability—two words not commonly used in the context of crop rotation management. However, simple AI-based expert systems supporting farms’ decision-making for optimizing crop rotation might be the key to solving most of the UN sustainable development goals worldwide. The essence of AI based crop rotation and farm management is that it works with nature—not against it. Thus, the AI-based expert system needs to solve the multidimensional optimization tasks of maximizing the diversity of crops that match the local soil, local climate conditions, the needs of the livestock, and any available machinery. Next to the optimization task, the expert system has to argue its decision-making basis since the goal is to achieve the most sustainable farming with the most profitable crop yield, not necessarily the largest yield. The expert system’s user interface (UI) should broaden thinking habits, offering new sustainable farming perspectives. This paper introduces both the technical architecture and the user-in-the-loop (UIL) principle of such an expert system. Since our system is still in the conceptual phase, we argue design decisions and address open research questions needed to implement such an expert system. Next to the option task, the expert system had to argue its decision-making basis since the goal is to get the most sustainable farming with the most profitable crop yield, not to get the largest yield. The expert systems’ user interface (UI) should broaden thinking habits, opting for new sustainable farming perspectives. This paper will introduce both the technical architecture and the user-in-the-loop (UIL) principle of such an expert system. Since our system is still in the conceptional phase, we argue design decisions and address open research questions needed to implement such an expert system

Citations

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IJARIIE Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. "AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 6 2025 Page 619-624
MLA Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. "AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 11.6(2025) : 619-624.
APA Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, & Naveen kumar G R. (2025). AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring. International Journal Of Advance Research And Innovative Ideas In Education, 11(6), 619-624.
Chicago Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. "AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 6 (2025) : 619-624.
Oxford Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. 'AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, 2025, p. 619-624. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/AI_Based_Crop_Rotation___Smart_Irrigation_System_with_Intrusion_Detection__ IoT Monitoring_ijariie27712.pdf (Accessed : ).
Harvard Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. (2025) 'AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, 11(6), pp. 619-624IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/AI_Based_Crop_Rotation___Smart_Irrigation_System_with_Intrusion_Detection__ IoT Monitoring_ijariie27712.pdf (Accessed : )
IEEE Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R, "AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, pp. 619-624, Nov-Dec 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/AI_Based_Crop_Rotation___Smart_Irrigation_System_with_Intrusion_Detection__ IoT Monitoring_ijariie27712.pdf [Accessed : ].
Turabian Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. "AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 6 ().
Vancouver Lavakumar T B, Ankith M S, Manoj Gowda B S, Nagaraj H K, and Naveen kumar G R. AI-Based Crop Rotation & Smart Irrigation System with Intrusion Detection & IoT Monitoring. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(6) : 619-624. Available from: http://ijariie.com/AdminUploadPdf/AI_Based_Crop_Rotation___Smart_Irrigation_System_with_Intrusion_Detection__ IoT Monitoring_ijariie27712.pdf
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