Agricultureregression-style estimation and nutrient-status monitoringemerging to early practical adoption; the review highlights spectral indices, hyperspectral sensing, and ai/ml models as effective for nitrogen tracking, with ongoing calibration needs across conditions.

Spectral-index and AI-based nitrogen status estimation for sugarcane nutrient management

Analyze crop images to estimate how much nitrogen sugarcane has, so farmers can apply fertilizer more accurately without relying only on slow leaf or soil tests.

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Agricultural Yield Optimization

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Source

https://www.frontiersin.org/journals/agronomy/articles/10.3389/fagro.2025.1681294/full