Cold Hardiness Prediction

Team
  • Faculty: Alan Fern (OSU), Prasad Tadepalli (OSU), Markus Keller (WSU)
  • Senior Collaborators: Paola Pesantez-Cabrera (WSU, Data Scientist), Sean Hill (WSU AgWeatherNet)
  • Graduate students: Zhengxian Lin (OSU, M.S.), Kin-Ho Lam (OSU, M.S.), Aseem Saxeena (OSU, Ph.D.)
  • Undergraduate students: Rohan Ballapragada (OSU, Computer Science)

Objectives
  • Develop machine learning models for grape cold hardiness prediction and compare those to existing models.
  • Develop and evaluate multi-task learning methods for cold hardiness of different grape cultivars.
  • Adapt models developed for grapes to predict sweet cherry cold-hardiness and bud break timing.
  • Develop transfer learning methods that can leverage phenology data when cold hardiness training data is not available.
  • Porting relevant beta models on AgWeatherNet for grower decision support and testing by a selected set of users.

Hypotheses
  • Develop machine learning models for grape cold hardiness prediction and compare those to existing models.
  • Develop and evaluate multi-task learning methods for cold hardiness of different grape cultivars.
  • Adapt models developed for grapes to predict sweet cherry cold-hardiness and bud break timing.
  • Develop transfer learning methods that can leverage phenology data when cold hardiness training data is not available.
  • Porting relevant beta models on AgWeatherNet for grower decision support and testing by a selected set of users.

Related Tools

Related Publications

2023

1.
Grape Cold Hardiness Prediction via Multi-Task Learning

Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Kin-Ho Lam; Markus Keller; Alan Fern

Grape Cold Hardiness Prediction via Multi-Task Learning Conference

Association for the Advancement of Artificial Intelligence (AAAI) 2023, 2023.

Abstract | Links | BibTeX

2.
Multi-Task Learning for Budbreak Prediction

Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Markus Keller; Alan Fern

Multi-Task Learning for Budbreak Prediction Workshop

2nd AAAI Workshop on AI for Agriculture and Food Systems (AIAFS), arXiv, 2023, (arXiv:2301.01815 [cs]).

Abstract | Links | BibTeX

3.
Persistent Homology to Study Cold Hardiness of Grape Cultivars

Welankar Sejal; Paola Pesantez-Cabrera; Bala Krishnamoorthy; Ananth Kalyanaraman

Persistent Homology to Study Cold Hardiness of Grape Cultivars Workshop

2nd AAAI Workshop on AI for Agriculture and Food Systems (AIAFS), arXiv, 2023.

Links | BibTeX

2022

4.
Grape Cold Hardiness Prediction via Multi-Task Learning

Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Kin-Ho Lam; Markus Keller; Alan Fern

Grape Cold Hardiness Prediction via Multi-Task Learning Workshop

Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS2022), 2022.

Abstract | BibTeX

5.
Extracting patterns in cold hardiness behavior using topological data analysis

Sejal Welankar; Paola Pesantez-Cabrera; Ananth Kalyanaraman

Extracting patterns in cold hardiness behavior using topological data analysis Workshop

arXiv, 2022.

Abstract | Links | BibTeX

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