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Nevo, E
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Authors
Katz, L
Genkin, K
Landau, A
Ness, Y
Crane, O
Golan, R
Rotbart, N
Nevo, E
Shapira, O
Fereres, E
Reichmann, O
Brook, A
Katz, L
Snir, N
Genkin, K
Rotbart, N
Nevo, E
Ronen, N
Reichmann, O
Topics
Remote and Proximal Sensing of Soils and Crops
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Oral
Year
2026
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1. From Pocket to Pixels: Smartphone-Based Proximal Sensing for Quantitative Monitoring of Peach Canopy Dynamics

Monitoring peach canopy dynamics is essential for optimizing irrigation scheduling and promoting sustainable water management in intensively managed orchards. In well-watered systems, conventional irrigation practices often overlook spatial and temporal variability in canopy size and leaf area index (LAI), potentially leading to inefficient water use. Canopy size, as reflected by LAI—the ratio of total leaf area to ground area—serves as a key biophysical indicator linked to crop transpiration... L. Katz, K. Genkin, A. Landau, Y. Ness, O. Crane, R. Golan, N. Rotbart, E. Nevo, O. Shapira, E. Fereres, O. Reichmann, A. Brook

2. Smartphone-Based RGB Phenotyping of Hydroponic Lettuce Growth Dynamics

Hydroponic lettuce production requires frequent, accurate growth assessment to optimize yield, nutrient efficiency, and crop uniformity within short, nutrient‑sensitive cycles. Existing imaging systems can deliver such precision but are often costly or technically demanding, limiting adoption in smaller hydroponic operations. Smartphone‑based imaging offers a practical alternative for scalable proximal phenotyping, yet its cross‑device quantitative accuracy and performance under operational... L. Katz, N. Snir, K. Genkin, N. Rotbart, E. Nevo, N. Ronen, O. Reichmann