Development and Field Validation of a Smartphone-Based Web Application for Diagnosing Optimal Timing of Mid-Season Drainage in Rice Cultivation via Canopy Image-Derived Tiller Estimation.

Yusaku Aoki, Atsushi Mochizuki, Mitsuaki Nakamura, Chikara Kuwata

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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0 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yusaku AokiChiba Prefectural Agriculture and Forestry Research Center, Chiba Prefectural Office, 180-1 Ookanazawa-Cho, Midori-Ku, Chiba-City 266-0014, Japan.ORCID 0009-0006-9473-5121

Atsushi MochizukiChiba Prefectural Agriculture and Forestry Research Center, Chiba Prefectural Office, 180-1 Ookanazawa-Cho, Midori-Ku, Chiba-City 266-0014, Japan.

Mitsuaki NakamuraChiba Prefectural Agriculture and Forestry Research Center, Chiba Prefectural Office, 180-1 Ookanazawa-Cho, Midori-Ku, Chiba-City 266-0014, Japan.

Chikara KuwataChiba Prefectural Agriculture and Forestry Research Center, Chiba Prefectural Office, 180-1 Ookanazawa-Cho, Midori-Ku, Chiba-City 266-0014, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, excessive tillering caused by high temperatures during early growth has contributed to rice quality deterioration in warm regions of Japan. Accurate determination of midseason drainage timing is essential but remains difficult due to year- and cultivar-dependent variability. In this study, we developed a smartphone-based web application that estimates rice tiller number from canopy images and diagnoses the optimal timing of midseason drainage by comparing estimated tiller numbers with cultivar-specific target values. The system operates entirely on a smartphone using HTML5 canvas-based pixel extraction, JavaScript computation, and Google Apps Script-based backend processing. Field experiments conducted in Chiba Prefecture using three rice cultivars showed a strong linear relationship between estimated and observed tiller numbers (R

Indexed as

AgricultureInternetOryzaSmartphoneJapanSeasonsimage-based diagnosismid-season drainagephenological decision supportrice (Oryza sativa)smart agriculturesmartphone imagingtiller estimationweb application

Identifiers

PMID41682514

DOI10.3390/s26031000

PMCPMC12900086

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.