Zhenong Jin

According to our database, Zhenong Jin authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants.

Albert J. Zhai, Xinlei Wang, Kaiyuan Li, Zhao Jiang, Junxiong Zhou, Sheng Wang, Zhenong Jin, Kaiyu Guan, Shenlong Wang

CoRR, 2024

Hierarchical Conditional Multi-Task Learning for Streamflow Modeling.

Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar

CoRR, 2024

Predicting the growth trajectory and yield of greenhouse strawberries based on knowledge-guided computer vision.

Qi Yang, Licheng Liu, Junxiong Zhou, Mary Rogers, Zhenong Jin

Comput. Electron. Agric., 2024

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.

Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.

Erhu He, Yiqun Xie, Alexander Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740.

Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai

Remote. Sens., January, 2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.

Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia

CoRR, 2023

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.

Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin

CoRR, 2023

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.

Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.

Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2.

Bingwen Qiu, Duoduo Lin, Chongcheng Chen, Peng Yang, Zhenghong Tang, Zhenong Jin, Zhiyan Ye, Xiaolin Zhu, Mingjie Duan, Hongyu Huang, Zhiyuan Zhao, Weiming Xu, Zuoqi Chen

Int. J. Appl. Earth Obs. Geoinformation, 2022

Clustering augmented self-supervised learning: an application to land cover mapping.

Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery.

Zhiyong Lv, Guangfei Li, Zhenong Jin, Jón Atli Benediktsson, Giles M. Foody

IEEE Trans. Geosci. Remote. Sens., 2021

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco.

Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai

Remote. Sens., 2021

Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach.

Chenxi Lin, Liheng Zhong, Xiao-Peng Song, Jinwei Dong, David B. Lobell, Zhenong Jin

CoRR, 2021

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping.

Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

CoRR, 2021

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.

Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing.

Yaping Cai, Kaiyu Guan, Emerson Nafziger, Girish Chowdhary, Bin Peng, Zhenong Jin, Shaowen Wang, Sibo Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2017

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa.

Zhenong Jin, George Azzari, Marshall Burke, Stephen Aston, David B. Lobell

Remote. Sens., 2017