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Gombos, B
Chen, S
Casiero, D.P
García, C.E
Cisneros, M
Choi, J
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Authors
Marasca, I
Casiero, D.P
Guerra, S.P
Lanças, K.P
Spadim, E.R
Sung, N
Chung, S
Kim, Y
han, K
Choi, J
Kim, J
Cho, Y
Jang, S
Zhao, T
Cisneros, M
Chen, Y
Yang, Q
Zhang, Y
Bodnár, K.B
Nagy, J
Gombos, B
Celades, J.A
Caicedo, J.H
García, C.E
Mora, H
Li, D
Jiang, H
Chen, S
Wang, C
Topics
Engineering Technologies and Advances
Engineering Technologies and Advances
Remote Sensing Applications in Precision Agriculture
Smart Weather for Precision Agriculture
Profitability and Success Stories in Precision Agriculture
In-Season Nitrogen Management
Type
Oral
Poster
Year
2014
2016
2018
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Filter results6 paper(s) found.

1. Development Of An Hydraulic Penetrometer Data Acquisition Software

Currently , in addition to increased production , the costs reduction are focused in order to increase efficiency in production, so the modern agriculture intent to find planting methods which extract the maximum possible data about the used area for making possible to do this preparation in the most appropriate manner, considering the shortcomings of evaluating these data. This method is contained in the concepts of an agricultural practice that has been steadily growing,  the... I. Marasca, D.P. Casiero, S.P. Guerra, K.P. Lanças, E.R. Spadim

2. Evaluation of a Sensor and Control Interface Module for Monitoring of Greenhouse Environment

Protected horticulture in greenhouses and plant factories has been increased in many countries due to the advantages of year-round production in controlled environment for improved productivity and quality. For protected horticulture, environmental conditions are monitored and controlled through wired and wireless devices. Various devices are used for monitoring and control of spatial and temporal variability in crop growth environmental conditions. Recently, various sensors and control devices,... N. Sung, S. Chung, Y. Kim, K. Han, J. Choi, J. Kim, Y. Cho, S. Jang

3. Almond Canopy Detection and Segmentation Using Remote Sensing Data Drones

The development of Unmanned Aerial System (UAV) makes it possible to take high resolution images of trees easily. These images could help better manage the orchard. However, more research is necessary to extract useful information from these images. For example, irrigation schedule and yield prediction both rely on accurate measurement of canopy size. In this paper, a workflow is proposed to count trees and measure the canopy size of each individual tree. The performances of three different methods... T. Zhao, M. Cisneros, Y. Chen, Q. Yang, Y. Zhang

4. Correlations Between Meteorological Parameters and the Water Loss of Maize from Silking to Harvesting

The University of Debrecen provides outstanding conditions for the development of “Smart Weather for Precision Agriculture” programs. The reliability of research is provided by the Polyfactoral Long-term Field Experiments of Debrecen (hybrid x fertilisation x plant density x tillage x irrigation) established in 1983. Within this research program, it is possible to examine various crop cultures, cultivars and hybrids under changing natural, environmental and weather circumstances,... K.B. Bodnár, J. Nagy, B. Gombos

5. Toward a Precision Agricultural Implementation for Sugar Cane Plantations in Southwestern Region of Colombia, South America

The Colombian Sugar Cane Research Center, CENICAÑA, has initiated an ambitious project for the implementation of Precision Agriculture (PA) technologies in the Cauca river valley region, where one of its main objectives is to have the ability to collect large volumes of geospatial data. The main sugarcane growers in the country perform their work in the selected work area, which covers an area of ​​approximately 242,000 ha, characterized by diverse topographic and edaphic conditions.... J.A. Celades, J.H. Caicedo, C.E. García, H. Mora

6. Estimating Litchi Canopy Nitrogen Content Using Simulated Multispectral Remote Sensing Data

This study aims at evaluating the performance of seven highly spatial resolution remote sensing data in litchi canopy nitrogen content estimation. The litchi canopy reflectance were collected by ASD field spectrometer. Then the canopy spectral data were resampled based on the spectral response functions of each satellite sensors (Geo-eye, GF-WFV1, Rapid-eye, WV-2, Landsat 8, WV-3, and Sentinel-2). The spectral indices in literature were derived based on the simulated data. Meanwhile, the successive... D. Li, H. Jiang, S. Chen, C. Wang