M
Masayuki Hirafuji
Researcher at University of Tokyo
Publications - 81
Citations - 1380
Masayuki Hirafuji is an academic researcher from University of Tokyo. The author has contributed to research in topics: Wireless sensor network & Server. The author has an hindex of 14, co-authored 75 publications receiving 1187 citations. Previous affiliations of Masayuki Hirafuji include National Agriculture and Food Research Organization & National Agricultural Research Centre.
Papers
More filters
Journal ArticleDOI
Review: Sensing technologies for precision specialty crop production
TL;DR: In this paper, the authors present a review of these sensing technologies and discuss how they are used for precision agriculture and crop management, especially for specialty crops, and some of the challenges and considerations on the use of these sensors and technologies for specialty crop production are also discussed.
Journal ArticleDOI
Field Monitoring Using Sensor-Nodes with a Web Server
TL;DR: A new method of remote monitoring system that can flexibly and dynamically respond to changes is proposed and the result of field experiments shows that the system is both safe and effective for remote monitoring applications.
Journal ArticleDOI
A weakly supervised deep learning framework for sorghum head detection and counting
Sambuddha Ghosal,Bangyou Zheng,Scott Chapman,Scott Chapman,Andries Potgieter,David Jordan,Xuemin Wang,Asheesh K. Singh,Arti Singh,Masayuki Hirafuji,Seishi Ninomiya,Baskar Ganapathysubramanian,Soumik Sarkar,Wei Guo +13 more
TL;DR: It is demonstrated that it is possible to significantly reduce human labeling effort without compromising final model performance by using a semitrained CNN model (i.e., trained with limited labeled data) to perform synthetic annotation.
Journal ArticleDOI
Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle
Ryo Sugiura,Shogo Tsuda,Seiji Tamiya,Atsushi Itoh,Kentaro Nishiwaki,Noriyuki Murakami,Yukinori Shibuya,Masayuki Hirafuji,Masayuki Hirafuji,Stephen Nuske +9 more
TL;DR: In this paper, the authors developed a new estimation technique for disease severity in a field using RGB imagery from an UAV, which allows high throughput, objective, and precise phenotyping with regard to field resistance to potato late blight.
Proceedings ArticleDOI
Data mining and wireless sensor network for agriculture pest/disease predictions
Amiya Kumar Tripathy,J. Adinarayana,D. Sudharsan,Shabbir N. Merchant,Uday B. Desai,K. Vijayalakshmi,D. Raji Reddy,G. Sreenivas,Seishi Ninomiya,Masayuki Hirafuji,Takuji Kiura,Kei Tanaka +11 more
TL;DR: An experiment was conducted in a semi-arid region to understand the crop-weather-pest/disease relations using wireless sensory and field-level surveillance data on closely related and interdependent pest - disease dynamics of groundnut crop.