Jana Kholová

According to our database, Jana Kholová authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

In-silico optimization of peanut production in India through envirotyping and ideotyping.

Amir Hajjarpoor, Jan Pavlík, Jan Hora, Jakub Konopásek, Janila Pusupuleti, Vincent Vadez, Afshin Soltani, Til Feike, Michal Stoces, Jan Jarolimek, Jana Kholová

Comput. Electron. Agric., 2025

AI-Driven Background Segmentation for High-Throughput 3D Plant Scans.

Serkan Kartal, Jan Masner, Jana Kholová, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

IEEE Access, 2025

Forecasting Sterility Mosaic Disease in Pigeonpea Using Dynamic Bayesian Networks and 3D Point Cloud High-throughput Scanning Platform.

Vojtech Mikes, Alexander Kocian, Jana Kholová, Jan Masner, Adam Kleczkowski, Mamta Sharma, Stefano Chessa, Alexander Galba, Pavel Simek

Proceedings of the 21st International Conference on Intelligent Environments, 2025

2023

Vision-Based Point Cloud Processing Framework for High Throughput Phenotyping.

Priyanka Gattu, S. Shreeshan, Subhra Sankha Bhatterjee, P. Rajalakshmi, Jana Kholová

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Two Dimensional Histogram based on Relative Entropy Thresholding for Crop Segmentation Using UAV Images.

Priyanka Gattu, P. Rajalakshmi, Jana Kholová

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals.

Keerthi Chadalavada, Krithika Anbazhagan, Adama Ndour, Sunita Choudhary, William Palmer, Jamie R. Flynn, Srikanth Mallayee, Sharada Pothu, Kodukula Venkata Subrahamanya Vara Prasad, Padmakumar Varijakshapanikar, Chris S. Jones, Jana Kholová

Sensors, 2022

2021

Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans.

Serkan Kartal, Sunita Choudhary, Jan Masner, Jana Kholová, Michal Stoces, Priyanka Gattu, Stefan Schwartz, Ewaut Kissel

Sensors, 2021

An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data.

Soumyashree Kar, Vikram Kumar Purbey, Saurabh Suradhaniwar, Lijalem Balcha Korbu, Jana Kholová, Surya S. Durbha, J. Adinarayana, Vincent Vadez

Comput. Electron. Agric., 2021