Seishi Ninomiya

International Field Phenomics Research Laboratory
Tokyo, Japan

Last Updated: 09/26/2026

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Found 28 publications

Multi-scale spatial-temporal remote sensing fusion for phenology identification in rice germplasm resources.

Multi-scale spatial-temporal remote sensing fusion for phenology identification in rice germplasm resources.

Journal: Plant phenomics (Washington, D.C.)

Published: February 28, 2026

Improving pear fruit quality without yield loss through 3D point cloud-based estimation of reasonable fruit load.

Improving pear fruit quality without yield loss through 3D point cloud-based estimation of reasonable fruit load.

Journal: Plant phenomics (Washington, D.C.)

Published: January 19, 2026

Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning.

Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning.

Journal: Plant phenomics (Washington, D.C.)

Published: April 24, 2025

UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation.

UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation.

Journal: Plant phenomics (Washington, D.C.)

Published: December 30, 2023

Study on the Optimal Leaf Area-to-Fruit Ratio of Pear Trees on the Basis of Bearing Branch Girdling and Machine Learning.

Study on the Optimal Leaf Area-to-Fruit Ratio of Pear Trees on the Basis of Bearing Branch Girdling and Machine Learning.

Journal: Plant phenomics (Washington, D.C.)

Published: November 13, 2023

Automatic Branch-Leaf Segmentation and Leaf Phenotypic Parameter Estimation of Pear Trees Based on Three-Dimensional Point Clouds.

Automatic Branch-Leaf Segmentation and Leaf Phenotypic Parameter Estimation of Pear Trees Based on Three-Dimensional Point Clouds.

Journal: Sensors (Basel, Switzerland)

Published: March 21, 2023

Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking.

Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking.

Journal: Plant phenomics (Washington, D.C.)

Published: December 30, 2022

Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered.

Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered.

Journal: Plant phenomics (Washington, D.C.)

Published: September 22, 2022

Digital phenotyping and data analysis for plant breeding.

Digital phenotyping and data analysis for plant breeding.

Journal: Breeding science

Published: September 01, 2022

Image-Based Phenotyping for Non-Destructive In Situ Rice (Oryza sativa L.) Tiller Counting Using Proximal Sensing.

Image-Based Phenotyping for Non-Destructive In Situ Rice (Oryza sativa L.) Tiller Counting Using Proximal Sensing.

Journal: Sensors (Basel, Switzerland)

Published: May 13, 2022

The effect of calcium silicate and ground magnesium limestone (GML) on the chemical characteristics of acid sulfate soil.

The effect of calcium silicate and ground magnesium limestone (GML) on the chemical characteristics of acid sulfate soil.

Journal: PloS one

Published: March 02, 2022

High-throughput field crop phenotyping: current status and challenges.

High-throughput field crop phenotyping: current status and challenges.

Journal: Breeding science

Published: August 31, 2021

Showing 1-12 of 28

Last Updated: 09/26/2026