Justine Vanden Heuvel

About

Justine Vanden Heuvel is a professor involved in biological and environmental engineering research at Cornell CALS. Her work includes research on synthetic biology aimed at improving therapeutics for Type 1 diabetes, exemplified by her collaboration with student Gaby Markle ’26 who is exploring potential treatments for the disease. Her research contributes to advancing medical and biological sciences through innovative approaches in synthetic biology, with a focus on developing new therapeutic strategies.

Research topics

• Computer Science
• Biology
• Environmental science
• Geography
• Ecology
• Remote sensing
• Horticulture
• Artificial Intelligence
• Soil science
• Optics

Selected publications

• Under-Vine Vegetation Mitigates the Impacts of Excessive Precipitation in Vineyards

  Frontiers in Plant Science · 2021 · 44 citations

  1st authorCorresponding

  Excessive precipitation events have greatly increased in several grape growing regions due to human-caused climate change. These heavy downpours result in a myriad of problems in the vineyard including soil aggregate breakdown, soil runoff, nutrient leaching, excessive vine vegetative growth, and diseased fruit. The negative impacts of excessive precipitation events on vineyards are exacerbated by the maintenance of bare soil under the vines. Exposure of bare soil results in soil erosion and run…

  PublisherOA PDFDOI

• Assessing Grapevine Nutrient Status from Unmanned Aerial System (UAS) Hyperspectral Imagery

  Remote Sensing · 2021 · 33 citations

  This study aimed to identify the optimal sets of spectral bands for monitoring multiple grapevine nutrients in vineyards. We used spectral data spanning 400–2500 nm and leaf samples from 100 Concord grapevine canopies, lab-analyzed for six key nutrient values, to select the optimal bands for the nutrient regression models. The canopy spectral data were obtained with unmanned aerial systems (UAS), using push-broom imaging spectrometers (hyperspectral sensors). The novel use of UAS-based hyperspec…

  PublisherOA PDFDOI

• A New, Satellite NDVI-Based Sampling Protocol for Grape Maturation Monitoring

  Remote Sensing · 2020 · 27 citations

  Senior authorCorresponding

  Vineyards are sampled on multiple occasions during the growing season for a range of purposes, particularly to assess fruit maturation. The objective of this work was to determine if satellite normalized difference vegetation index (NDVI) vineyard images could be used to compute optimal spatially explicit sampling protocols for determining fruit maturation and quality, and minimize the number of locations physically sampled in a vineyard. An algorithm was designed to process Landsat images to lo…

  PublisherOA PDFDOI

• Bringing solar to agriculture: An interdisciplinary design and analysis of a Concord grape agrivoltaic system

  Applied Energy · 2025-05-09 · 14 citations

  articleOpen access
  PublisherOA PDFDOI

• Low-Cost, Computer Vision-Based, Prebloom Cluster Count Prediction in Vineyards

  Frontiers in Agronomy · 2021-04-08 · 11 citations

  articleOpen access

  Traditional methods for estimating the number of grape clusters in a vineyard generally involve manually counting the number of clusters per vine in a subset of the vineyard and scaling by the total number of vines; a technique that can be laborious, costly, and with an accuracy that depends on the size of the sample. We demonstrate that traditional cluster counting has a high variance in yield estimate accuracy and is highly sensitive to the particular counter and choice of the subset of counte…

  PublisherOA PDFDOI

Frequent coauthors

• Gavin L. Sacks

  Cornell University

  28 shared

• James M. Meyers

  26 shared

• Wesley R. Autio

  University of Massachusetts Amherst

  25 shared

• Donglin Zhang

  University of Georgia

  24 shared

• Catherine Neto

  University of Massachusetts Dartmouth

  18 shared

• Michelle R. Salvas

  Connecticut Agricultural Experiment Station

  16 shared

• Christine A. Dao

  University of Rhode Island

  16 shared

• Timothy E. Martinson

  Iowa State University

  15 shared

Similar researchers at Cornell University

• Edward Bucklerh-182
• Jean-Luc Janninkh-93
• Georg Janderh-89