Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Michelon, G.K

Chen, X

» Add more authors

Add filter to result:

Authors

Miao, Y

Cao, Q

Cui, Z

Li, F

Dao, T.H

Khosla, R

Chen, X

Yao, Y

Miao, Y

Huang, S

Gnyp, M.L

Jiang, R

Chen, X

Bareth, G

Bazzi, C.L

Jasse, E.P

Souza, E.G

Magalhães, P.S

Michelon, G.K

Schenatto, K

Gavioli, A

Michelon, G.K

Sanches, G.M

Valente, I.Q

Bazzi, C.L

de Menezes, P.L

Amaral, L.R

Magalhaes, P.G

Topics

Precision Nutrient Management

Sensor Application in Managing In-season Crop Variability

Big Data, Data Mining and Deep Learning

Decision Support Systems

Type

Oral

Year

2010

2018

Home » Authors » Results

Authors

Filter results4 paper(s) found.
1. Quantifying Spatial Variability Of Indigenous Nitrogen Supply For Precision Nitrogen Management In North China Plain ... Y. Miao, Q. Cao, Z. Cui, F. Li, T.H. Dao, R. Khosla, X. Chen Download paper
2. Developing An Active Crop Sensor-based In-season Nitrogen Management Strategy For Rice In Northeast China Crop sensor-based in-season N management strategies have been successfully developed and evaluated for winter wheat around the world, but little has been reported for rice. The objective of this study was to develop an active crop sensor-based in-season N management strategy for upland rice in Northeast... Y. Yao, Y. Miao, S. Huang, M.L. Gnyp, R. Jiang, X. Chen, G. Bareth Download paper
3. AgDataBox – API (Application Programming Interface) E-agricultural is an emerging field focusing in the enhancement of agriculture and rural development through improve in information and data processing. The data-intensive characteristic of these domains is evidenced by the great variety of data to be processed and analyzed. Countrywide estimates rely on maps, spectral images from satellites, and tables with rows for states, regions, municipalities, or farmers. Precision agriculture (PA) relies on maps of within field variability of soil and plant... C.L. Bazzi, E.P. Jasse, E.G. Souza, P.S. Magalhães, G.K. Michelon, K. Schenatto, A. Gavioli Download paper
4. Optimized Soil Sampling Location in Management Zones Based on Apparent Electrical Conductivity and Landscape Attributes One of the limiting factors to characterize the soil spatial variability is the need for a dense soil sampling, which prevents the mapping due to the high demand of time and costs. A technique that minimizes the number of samples needed is the use of maps that have prior information on the spatial variability of the soil, allowing the identification of representative sampling points in the field. Management Zones (MZs), a sub-area delineated in the field, where there is relative homogeneity in... G.K. Michelon, G.M. Sanches, I.Q. Valente, C.L. Bazzi, P.L. De Menezes, L.R. Amaral, P.G. Magalhaes Download paper

Filter results4 paper(s) found.

1. Quantifying Spatial Variability Of Indigenous Nitrogen Supply For Precision Nitrogen Management In North China Plain

... Y. Miao, Q. Cao, Z. Cui, F. Li, T.H. Dao, R. Khosla, X. Chen

Download paper

2. Developing An Active Crop Sensor-based In-season Nitrogen Management Strategy For Rice In Northeast China

Crop sensor-based in-season N management strategies have been successfully developed and evaluated for winter wheat around the world, but little has been reported for rice. The objective of this study was to develop an active crop sensor-based in-season N management strategy for upland rice in Northeast... Y. Yao, Y. Miao, S. Huang, M.L. Gnyp, R. Jiang, X. Chen, G. Bareth

Download paper

3. AgDataBox – API (Application Programming Interface)

E-agricultural is an emerging field focusing in the enhancement of agriculture and rural development through improve in information and data processing. The data-intensive characteristic of these domains is evidenced by the great variety of data to be processed and analyzed. Countrywide estimates rely on maps, spectral images from satellites, and tables with rows for states, regions, municipalities, or farmers. Precision agriculture (PA) relies on maps of within field variability of soil and plant... C.L. Bazzi, E.P. Jasse, E.G. Souza, P.S. Magalhães, G.K. Michelon, K. Schenatto, A. Gavioli

Download paper

4. Optimized Soil Sampling Location in Management Zones Based on Apparent Electrical Conductivity and Landscape Attributes

One of the limiting factors to characterize the soil spatial variability is the need for a dense soil sampling, which prevents the mapping due to the high demand of time and costs. A technique that minimizes the number of samples needed is the use of maps that have prior information on the spatial variability of the soil, allowing the identification of representative sampling points in the field. Management Zones (MZs), a sub-area delineated in the field, where there is relative homogeneity in... G.K. Michelon, G.M. Sanches, I.Q. Valente, C.L. Bazzi, P.L. De Menezes, L.R. Amaral, P.G. Magalhaes

Download paper