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Cuitiva Baracaldo, R
Gimenez, L.M
Chae, Y
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Authors
Chung, S
Kong, J
Huh, Y
Bae, K
Hur, S
Lee, D
Chae, Y
Huh, Y
Chung, S
Chae, Y
Lee, J
Kim, S
Choi, M
Jung, K
Cuitiva Baracaldo, R
Munar Vivas, O
Carrillo Romero, G
Rodrigues Alves Franchi, M
Molina Cyrineu, I
Kagami Taira, F
Hunhoff, L
Gimenez, L.M
Topics
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change)
Sensor Application in Managing In-season CropVariability
Geospatial Data
On Farm Experimentation with Site-Specific Technologies
Type
Poster
Oral
Year
2012
2014
2018
2024
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Filter results4 paper(s) found.

1. Evaluation of Photovoltaic Modules at Different Installation Angles and Times of the Day

Several electricity-consuming components for cooling and heating, illumination, ventilation, and irrigation are used to maintain proper environments of protected crop cultivation facilities. Photovoltaic system is considered as one of the most promising alternative power source for protected cultivation. Effects of environment,... S. Chung, J. Kong, Y. Huh, K. Bae, S. Hur, D. Lee, Y. Chae

2. Design And Construction Of An Ultrasonic Cutting Width Sensor For Full-Feed Type Mid-Sized Multi-Purpose Combines

Precision agriculture analyzes the spatial variability according to the characteristics of an optimum setting of agricultural materials. To raise the profitability of agriculture and to reduce the environmental impact, technological research and development of precision agriculture has been conducted. In Asian countries such as Japan... Y. Huh, S. Chung, Y. Chae, J. Lee, S. Kim, M. Choi, K. Jung

3. GIS Web and Mobile Development with Interfaces in QGIS for Variable Rate Fertilization

In this paper we described the implementation of a GIS for Precision Agriculture for sugarcane crop in Colombia. An spatial equation for Variable Rate Fertilization Model was defined using as inputs estimated harvest data, nutrients in soil and fertilizer efficiently. Models for soil and harvest variability are also defined. A personalized plugin for precision agriculture was developed into QGIS software, there is the option of upload maps to a Web and mobile app using the Desktop software and... R. Cuitiva baracaldo, O. Munar vivas, G. Carrillo romero

4. On-farm Experimentation Case Study in Brazil: Evaluation of Soybean Seeding Rate Using Resources Available at the Farm

In order to maximize grain yield in soybean (Glycine max [L.] Merr.) it is necessary that the plant population is correctly defined. Production environments differ spatially, and cultivar holders suggest plant populations across macroregions and in broad ranges. Refinements of planting seasons and populations are carried out through tests on many properties, often costly and sometimes unrepresentative of most fields. Tools for managing spatial variability are ways to conduct more... M. Rodrigues alves franchi, I. Molina cyrineu, F. Kagami taira, L. Hunhoff, L.M. Gimenez