David H. Fleisher

According to our database, David H. Fleisher authored at least 19 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Supervised Latent Restructuring for Small-Data Quantum Learning in Plant Phenomics.

Alakananda Mitra, David H. Fleisher, Vangimalla R. Reddy, Chittaranjan Ray

CoRR, May, 2026

The SPAR facility: insights on a legacy with continued relevance for agriculture.

Muhammad Adeel Hassan, Sahila Beegum, Christine Yao-Yun Chang, Dennis Timlin, David H. Fleisher, Chittaranjan Ray, Vangimalla R. Reddy, Kambham Raja Reddy

Comput. Electron. Agric., 2026

pdKGraph: A Novel Approach to Constructing Plant Disease Knowledge Graphs Using Large Language Models.

Alakananda Mitra, Dinh Quy Duong, David H. Fleisher, Vangimalla R. Reddy, Chittaranjan Ray

IEEE Access, 2026

2025

The development of a soil data aggregation method for the spatial impact assessment of climate change on soybean yield.

Byoung Hyun Yoo, Kwang Soo Kim, Junhwan Kim, Robert M. Beresford, David H. Fleisher

Comput. Electron. Agric., 2025

Process-based vegetative growth model for cereal rye winter cover crop using object-oriented programming and linked-list data structure.

Zhuangji Wang, Dennis Timlin, Resham Thapa, David H. Fleisher, Sahila Beegum, Eunjin Han, Harry Schomberg, Steven B. Mirsky, Wenguang Sun, Vangimalla R. Reddy, Robert Horton, Katherine Tully

Comput. Electron. Agric., 2025

TDR-Transformer: A transformer neural network model to determine soil relative permittivity variations along a time domain reflectometry sensor waveguide.

Zhuangji Wang, Dennis Timlin, Xiaofei Gong, Yuki Kojima, Shan Hua, David H. Fleisher, Wenguang Sun, Sahila Beegum, Vangimalla R. Reddy, Katherine Tully, Robert Horton

Comput. Electron. Agric., 2025

2024

Cotton Yield Prediction: A Machine Learning Approach With Field and Synthetic Data.

Alakananda Mitra, Sahila Beegum, David H. Fleisher, Vangimalla R. Reddy, Wenguang Sun, Chittaranjan Ray, Dennis Timlin, Arindam Malakar

IEEE Access, 2024

2023

Cotton Yield Prediction Using Random Forest.

Alakananda Mitra, Sahila Beegum, David H. Fleisher, Vangimalla R. Reddy, Wenguang Sun, Chittaranjan Ray, Dennis Timlin, Arindam Malakar

CoRR, 2023

2022

Spatial portability of random forest models to estimate site-specific air temperature for prediction of emergence dates of the Asian Corn Borer in North Korea.

Byoung Hyun Yoo, Kwang Soo Kim, Jin Yu Park, Kyung Hwan Moon, Jeong Joon Ahn, David H. Fleisher

Comput. Electron. Agric., 2022

Changes in the effects of water and nitrogen management for potato under current and future climate conditions in the U.S.

Kirsten Paff, David H. Fleisher, Dennis Timlin

Comput. Electron. Agric., 2022

GLUEOS: A high performance computing system based on the orchestration of containers for the GLUE parameter calibration of a crop growth model.

Shinwoo Hyun, Jin Yu Park, Junhwan Kim, David H. Fleisher, Kwang Soo Kim

Comput. Electron. Agric., 2022

2021

Analogy-Based Crop Yield Forecasts Based on Temporal Similarity of Leaf Area Index.

Yadong Liu, Junhwan Kim, David H. Fleisher, Kwang Soo Kim

Remote. Sens., 2021

A piecewise analysis model for electrical conductivity calculation from time domain reflectometry waveforms.

Zhuangji Wang, Dennis Timlin, Yuki Kojima, Chenyi Luo, Yan Chen, Sanai Li, David H. Fleisher, Katherine Tully, Vangimalla R. Reddy, Robert Horton

Comput. Electron. Agric., 2021

Application of a coupled model of photosynthesis, stomatal conductance and transpiration for rice leaves and canopy.

Sanai Li, David H. Fleisher, Zhuangji Wang, J. Barnaby, Dennis Timlin, Vangimalla R. Reddy

Comput. Electron. Agric., 2021

Development of an orchestration aid system for gridded crop growth simulations using Kubernetes.

Junhwan Kim, Jin Yu Park, Shinwoo Hyun, Byoung Hyun Yoo, David H. Fleisher, Kwang Soo Kim

Comput. Electron. Agric., 2021

Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model.

Shinwoo Hyun, Seung Mo Yang, Junhwan Kim, Kwang Soo Kim, Jae Hoon Shin, Sang Min Lee, Byun-Woo Lee, Robert M. Beresford, David H. Fleisher

Comput. Electron. Agric., 2021

2020

A generic composite measure of similarity between geospatial variables.

Yadong Liu, Kwang Soo Kim, Robert M. Beresford, David H. Fleisher

Ecol. Informatics, 2020

Development of an automated gridded crop growth simulation support system for distributed computing with virtual machines.

Junhwan Kim, Jinew Park, Shinwoo Hyun, David H. Fleisher, Kwang Soo Kim

Comput. Electron. Agric., 2020

2018

Regional food production and land redistribution as adaptation to climate change in the U.S. Northeast Seaboard.

Denis Mutiibwa, David H. Fleisher, Jonathan P. Resop, Dennis Timlin, Vangimalla R. Reddy

Comput. Electron. Agric., 2018