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Barrero, O
Tamirat, T.W
Okayasu, T
Bastos, A.H
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Authors
Garcia, A.H
Rodrigues Júnior, F.H
Bastos, A.H
Magalhaes, P.S
Silva, M.J
Hirai, Y
Yamakawa, T
Inoue, E
Okayasu, T
Mitsuoka, M
Barrero, O
Castilla, L.A
Yenibehit, N
Pedersen, S.M
Tamirat, T.W
Tamirat, T.W
Pedersen, S.M
Okayasu, T
Okayasu, T
Okayasu, T
Okayasu, T
Okayasu, T
Topics
Sensor Application in Managing In-season Crop Variability
Big Data Mining & Statistical Issues in Precision Agriculture
Applications of Unmanned Aerial Systems
Site-Specific Nutrient, Lime and Seed Management
Precision Agriculture for Sustainability and Environmental Protection
Type
Poster
Oral
Year
2012
2016
2018
2026
2025
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Filter results10 paper(s) found.

1. Assembly of an Ultrasound Sensors System for Mapping of Sugar Cane Height

In Precision Agriculture, the use of sensors provides faster data collection on plant, soil, and climate, allowing collecting larger sample sets with better information quality. The objective of this study was the development of a system for plant height measurement in order to mapping of sugar cane crop, so that regions with plant growth variation and grow failures could be identified... A.H. Garcia, F.H. Rodrigues Júnior, A.H. Bastos, P.S. Magalhaes, M.J. Silva

2. Analysis of High Yield Condition Using a Rice Yield Predictive Model

Rice production in Japan is facing problems of yield and quality instability owing to recent climate changes and a decline in rice prices, and possible competition with foreign inexpensive rice. Thus, it is becoming more important to stably achieve high yield and quality, while reducing production costs. Various data, including crop growth, farmer’s management styles, yield and quality, has recently become accessible in actual fields using advanced information and communication technologies.... Y. Hirai, T. Yamakawa, E. Inoue, T. Okayasu, M. Mitsuoka

3. Temporal Analysis of Correlation of NDVI with Growth and Yield Features of Rice Plants

In this paper we present a temporal correlation analysis of NDVI with with Growth and Yield Features of Rice Plants.  A half ha experimental rice field was established south-west of Ibagué, Tolima, Colombia (4°22'54.192"N, 75°09'17.222"W.  For the experimental design in the plot, four rows were established for nitrogen, three for phosphorous and three for potassium. For nitrogen, each row contained five treatments allocated randomly.  The... O. Barrero, L.A. Castilla

4. Do Precision and Climate Concerns Shape Fertilizer Usage Proportions? Evidence from Denmark

Farmers are constantly facing pressure to enhance crop productivity while minimizing environmental and climate impacts through efficient input management. In Denmark, because of concerns over nitrogen leaching, greenhouse gas emissions, and water quality degradation, there are tight regulations to fertilizer use. This makes precision farming technologies a key to the efficient management of nutrients through site-specific input application based on crop and soil variability. However, adoption... N. Yenibehit, S.M. Pedersen, T.W. Tamirat

5. Economic performance of Robotic Applications in Field Crop Farming: Examples from Four European Case Studies

This paper presents cost benefit analysis of robotic applications in field crop farming based on case studies from an EU project called ROBS4CROPS with pilot cases situated in Loire valley in France, Corinth in Greece, Catalonia in Spain and Oldambt in the Netherlands. The cases form France and The Netherlands focus on mechanical weeding in vineyards and sugar beet, respectively. The ones in Spain and Greece deal with robotic spraying of crop protection chemicals in apple orchards and table grapes,... T.W. Tamirat, S.M. Pedersen

6. Potential of Plant Phenotyping for Data-driven Greenhouse Horticulture

We are trying to investigate the use of various features extracted from plant images for the purpose of environmental control in greenhouses according to the growth conditions of plants. A measurement robot was utilized in order to collect plant images. Plant growth features (apical buds, flowers, fruits, etc.) were extracted by using a deep learning-based detector. In addition, we also introduced a 3D reconstruction technology to obtain the plant shape features such as plant height, internode... T. Okayasu

7. High-reliability Navigation for Multi-functional Robots Using Rfid Triggers and 3d Slam in a Protected Horticulture

Protected horticulture in Japan is facing a serious labor shortage, yet existing robots have not achieved sufficient return on investment, and their adoption remains limited. To support the deployment of multi-functional robots, we developed a high-reliability autonomous navigation system that integrates RFID-based event-triggered state transitions with LiDAR-based simultaneous localization and mapping (SLAM).The developed mobile platform was built on an omnidirectional robot equipped with four... T. Okayasu

8. Performance Evaluation of Agricultural Spray Nozzle Under Different Pressure Conditions by Image Analysis

Spray nozzles are critical components in agricultural equipment used for pest control, pollination, and so on. The liquid ejected from the nozzle is broken down into droplets due to friction with the air and pressure changes. Consequently, the nozzle performance is often defined by alternative parameters to estimate the actual operating conditions. This study aims to determine the operating parameters of spray injection by photographing the movement of droplets ejected from a nozzle under different... T. Okayasu

9. Design and Development of UECS-based Environmental Monitoring and Control Platform Without Coding

Data-driven agriculture has been increasingly adopted to achieve labor-saving, energy efficiency, and resource optimization in agricultural operations. Among small- and medium-scale horticul- tures, the Ubiquitous Environment Control System (UECS) proposed in 2004 is attracting again due to low cost of introduction. The UECS is an autonomous and distributed open-source en- vironmental monitoring and control platform for greenhouse horticulture. A computer called a node is used in each environmental... T. Okayasu

10. Evaluation of High-throughput 3d Reconstruction Method for Plants and Its Application to Traits Feature Extraction

2D images are widely utilized to monitor and evaluate plant growth, capturing the dynamic and multi-directional nature of plant canopies remains difficult, emphasizing the need for 3D monitoring integrated with plant phenotyping systems.This study aims to introduce a high-throughput plant phenotyping system using 3D plant shape model reconstructed from a dataset of 2D plant images from multiple camera poses. A robot autonomously gathered data by recording video footage of plants from various viewpoints,... T. Okayasu