Meyd873 | 2021

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| Year | Study | Core Contribution | Relation to MEYD873 | |------|-------|-------------------|---------------------| | 2020 | (Li et al.) | End‑to‑end CNN on multispectral imagery only. | Baseline for satellite‑only approaches; MEYD873 improves by integrating temporal IoT data. | | 2021 | MEYD873 (current) | Sensor fusion + hierarchical deep learning. | Introduces temporal granularity and meta‑learning. | | 2022 | AgriSense (Kumar et al.) | Edge‑AI on low‑power LoRaWAN sensors; focuses on disease detection. | Complements MEYD873’s focus on yield; suggests a pathway for low‑cost hardware. | | 2023 | HybridYield (Gomez et al.) | Bayesian ensemble of physics‑based crop models + ML. | Shares the hybrid philosophy; MEYD873 could serve as a data source for such ensembles. | "We’ve all been there: trying to figure out