Research Projects

Focus: Machine learning, crop-growth data assimilation, and Sentinel-1–Sentinel-2 fusion

Scope: Yield-centered synthesis of Sentinel-2 research since 2015 across crops and continents

Publication: Smart Agricultural Technology 14 (2026) 102405 · Open access CC BY

Data: 2,148 chips (512 × 512, 20 m B12/B11/B8A) with incident-disjoint train/val/test splits

Challenge: Fire pixels are 0.0766% of the archive; 233 test chips have independent analyst review

Publication: Data in Brief 69 (2026) 113357 · CC BY · corresponding author Narimani

Design: 3,778 matched burned cells, HLS snow persistence (WY2016–2026), and 5 km spatial CV

Result: raw persistence R² 0.811 vs fire-adjusted anomaly R² 0.046; elev.+temp. 65.7% attribution

Publication: Frontiers in Forests and Global Change 9:2016172 (2026) · CC BY · corresponding author Narimani

Evidence: 4,581 vineyard fields with Sentinel-2, OpenET, smoke, roads, and recovery indicators

Result: vineyard dNBR 0.130 vs wildland 0.337; no robust universal firebreak; mean 7.78 smoke-days

Publication: Frontiers in Sustainability 7:1997548 (2026) · CC BY · corresponding author Narimani

Evidence: 12,081 CAL FIRE inspections linked to Sentinel-2, Landsat, LANDFIRE, terrain, and OSM buildings

Result: ROC-AUC 0.92 random vs 0.75 spatial; building-count OR 3.74 per SD in a 100 m disk

Publication: Frontiers in Sustainability 7:1975724 (2026) · CC BY · corresponding author Narimani

Data: ~1,000 leaves, 400–2500 nm, PROSPECT-PRO imputation, 16 traits in one network

Results: Multi-trait R² of 0.42 / 0.81 / 0.90 / 0.62 for N, P, Nstruct, and Mn

Publication: Plant Phenomics 7 (2025) 100142 · Open access CC BY

Model: 16 leaf traits → full 400–2500 nm reflectance via multi-head attention + Conv1D

Results: Mean R² 0.84 and NRMSE 1.52%; lower MAE than PROSPECT-PRO in NIR/SWIR

Publication: SPIE 2025 Vol. 13475, 134750V · Farajpoor, Pourreza, Narimani, et al.

Scope: Peer-reviewed IoT studies 2011–2024 across food processing and related fields

Contribution: Domain map plus a three-layer perception / network / application architecture

Publication: Journal of Food Processing and Preservation 2025(1), 3064441 · CC BY

System: Two single-span strawberry greenhouses; 10-minute climate and yield records

Results: VPD NARX R² up to 99.1% in RGH; curtain geometry changes the indoor climate

Publication: Journal of Agricultural Engineering 55(2), 1563 (2024) · CC BY-NC

Technology: AlphaEarth 64-band embeddings, U-Net segmentation, AWS SageMaker, Monte Carlo dropout

Results: 99.04% F1 score and 98.11% IoU on 1,424 spatially independent test fields

Presentation: ASABE Annual International Meeting 2026 · Indianapolis, IN

Technology: Project BloomSense - UAV mapping fused with Amiga ground robot

Impact: High-resolution bloom density estimates for pollination and yield prediction

Achievement: Selected as winner among 96 global teams at USA Plug and Play Summit

Technology: Matrice drone, LiDAR module, 3D point cloud analysis

Focus: Early detection of broomrape, biomass monitoring, stress indicators

Collaboration: Alireza Pourreza, Ali Moghimi, Mohsen Mesgaran

Technology: DJI Matrice 210, MicaSense Altum-PT, LSTM, SMOTE

Results: 88.37% accuracy, 95.37% recall; earliest detection at 897 GDD

Publication: SPIE 2024 (Vol. 13053) • Narimani, Pourreza, Moghimi, Mesgaran, et al.

Technology: Portable spectroradiometer (350–2500 nm), RF, XGBoost, SVM, Naive Bayes

Results: 89% accuracy at 585 GDD; water absorption bands (1500, 2000 nm) key for early detection

Publication: IFAC-PapersOnLine 59(23), 2025 • Presented at AGRICONTROL 2025, Davis, CA

Technology: Sentinel-2, 20 vegetation indices, 5 NN-derived traits, GDD alignment, LSTM

Results: 87% test accuracy; NDMI, CCC, FAPAR, CHL-RED-EDGE most influential

Publication: SPIE 2025 (Vol. 13475) • Orlando, FL • Narimani, Pourreza, Moghimi, et al.

Technology: IoT (Arduino, Ubidots), centrifugal aeroponic irrigation, VGG-19, InceptionResNetV2, InceptionV3

Results: VGG-19 92% on industrial data, 86.34% on experimental greenhouse; healthy / drought / rust detection

Publication: ASABE 2021 Virtual Meeting · Paper 2101252 · Narimani, Hajiahmad, Moghimi, Alimardani, et al.