Study on estimating method of feed and water intake of broilers based on object detection by deep learning

Authors

Institutions

Publication Details

Journal
Nihon Chikusan Gakkaiho
Published
2024-08-25
DOI
https://doi.org/10.2508/chikusan.95.229
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on estimating method of feed and water intake of broilers based on object detection by deep learning

Kenichi Horiguchi, Hiroki Matsuyama, Mitsuhiko Katahira, Tong MENG et al.
1 citations
Nihon Chikusan Gakkaiho
Remote Sensing and Land Use
0.38
article

Study on estimating method of feed and water intake of broilers based on object detection by deep learning

Kenichi Horiguchi, Hiroki Matsuyama, Mitsuhiko Katahira, Tong MENG, Shuji URAKAWA
article en
1 citations

Abstract

No abstract available for this paper.
Nihon Chikusan GakkaihoVol. 95(3)
Yamagata University (JP), Iwate University (JP)
Openalex Percentile: Top 40%
Remote Sensing and Land Use
0.38
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Study on estimating method of feed and water intake of broilers based on object detection by deep learning — Kenichi Horiguchi, Hiroki Matsuyama, et al. · Nihon Chikusan Gakkaiho (2024) | TGRS Research Map | TGRS