Author

N. Averbuch

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Research Focus:plant physiology & development· 1

Frequent Co-Authors

M. Moshelion· 2 shared A. Dalal· 1 shared A. Mayo· 1 shared I. Shenhar· 1 shared R. Bourstein· 1 shared R. Wallach· 1 shared Y. Grunwald· 1 shared Z. Attia· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersPlant Biology

M. Moshelion

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2 papers

Recent·Most cited

Evaluating Evapotranspiration in a Commercial Greenhouse: A Comparative Study of Microclimatic Factors and Machine-Learning Algorithms

N. Averbuch, M. Moshelion

This study evaluates the accuracy of the FAO-56 Penman-Monteith equation in a greenhouse using microclimatic data and machine learning to predict evapotranspiration.

bioRxiv · Jan 11, 2024 · PreprintPlant Biology

A High Throughput Gravimetric Phenotyping Platform for Real Time Physiological Screening of Plant Environment Dynamic Responses

A. Dalal, I. Shenhar, R. Bourstein, A. Mayo, Y. Grunwald, N. Averbuch, Z. Attia, R. Wallach, M. Moshelion

This paper introduces a high-throughput gravimetric phenotyping method for real-time measurement of plant physiological responses to dynamic environmental conditions.

bioRxiv · Jan 30, 2020Plant Biology