FieldSense AI: Why Plant-Health Decisions Need More Than a Disease Classifier

A developer built FieldSense AI, an open-source prototype that pairs image-based plant disease classification with evidence-driven agricultural investigation and commerce features, arguing that plant-health decisions require more than a standalone disease classifier. The project, published on GitHub, cites foundational plant-disease deep learning research including the 2016 Mohanty et al. Frontiers paper and the 2020 PlantDoc dataset.

Mohanty, S. P., Hughes, D. P., & Salathé, M. 2016 . Using Deep Learning for Image-Based Plant Disease Detection . Frontiers in Plant Science, 7, 1419. https://doi.org/10.3389/fpls.2016.01419 https://doi.org/10.3389/fpls.2016.01419 Singh, D., Jain, N., Jain, P., Kayal, P., Kumawat, S., & Batra, N. 2020 . PlantDoc: A Dataset for Visual Plant Disease Detection . Proceedings of the 7th ACM IKDD CoDS and 25th COMAD. https://doi.org/10.1145/3371158.3371196 https://doi.org/10.1145/3371158.3371196 Bagga, M., & Goyal, S. 2024 . Image-based detection and classification of plant diseases using deep learning: State-of-the-art review . https://doi.org/10.1002/uar2.20053 https://doi.org/10.1002/uar2.20053 FieldSense AI — Evidence-driven agricultural investigation and commerce prototype GitHub: https://github.com/NikhilRaman12/fieldsense-ai https://github.com/NikhilRaman12/fieldsense-ai