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@article{189054,
        author = {Pratiksha Rohom},
        title = {How AI Helps in Soil Health},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4379-4381},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189054},
        abstract = {Soil health is foundational for sustainable agriculture, carbon sequestration, and food security. Recent advances in artificial intelligence (AI) — especially machine learning (ML), deep learning (DL), and AI integration with IoT and remote sensing — are transforming how soil properties are measured, monitored, modeled, and managed. This paper reviews current AI-enabled approaches for assessing soil physical, chemical, and biological indicators; synthesizes evidence of their accuracy and scalability; discusses integration challenges (data, bias, infrastructure, farmer adoption); and outlines practical pathways and research gaps for deploying AI to improve soil health at farm to landscape scales. Key benefits include cost-effective monitoring, high-resolution mapping, predictive decision support, and automation that reduces labour and environmental impacts. The Guardian+4MDPI+4MDPI+4},
        keywords = {},
        month = {December},
        }