Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487 •   Impact Factor: 9.11

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Agri Sense Farming: Soil-Crop Recommendation & Prediction System

Author(s) Harbhajan Mishra, Chandra Prakash Singar, Puja Gupta, Aman Singh, Ishant Pownikar
Country India
Abstract Agriculture plays a vital role in economic development, food security, and sustainable living. However, traditional agricultural practices often face challenges such as irregular climate conditions, inefficient irrigation, crop diseases, pest infestations, poor soil management, and fluctuating market prices. Farmers frequently lack access to real-time agricultural intelligence and personalized recommendations, leading to reduced productivity and inefficient resource utilization. Recent advancements in Artificial Intelligence (AI), Machine Learning (ML), image processing, Internet of Things (IoT), and Large Language Models (LLMs) have created new opportunities for developing intelligent smart farming systems capable of improving agricultural efficiency and decision-making. This research proposes AgriSense, a hybrid AI-based smart agriculture platform designed to provide intelligent agricultural assistance through real-time environmental monitoring, crop recommendation, disease detection, irrigation management, fertilizer guidance, pest- control analysis, and market demand prediction. The proposed system integrates rule-based agricultural algorithms, image-processing techniques, weather analytics, and Large Language Models within a unified and scalable architecture. One of the major strengths of the proposed architecture is its hybrid AI design, where rule-based algorithms provide scientific accuracy and deterministic calculations while LLMs provide contextual reasoning and expert-level agricultural recommendations. This combination improves reliability, adaptability, scalability, and fault tolerance.
Keywords Smart Agriculture, Hybrid AI, Machine Learning, Large Language Models, Image Processing, Crop Recommendation, Precision Farming.
Discipline Engineering
Published In Volume 4, Issue 3, May-June 2026
Published On 2026-05-19
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