Geotechnologies and soil mapping for delimitation of management zones as an approach to precision viticulture.
Data of the physical and chemical properties of soils from three vineyards located in Vale dos Vinhedos, Bento Gonc ̧alves, Rio Grande do Sul state, in southern Brazil, were processed. Soil mapping was performed by means of four profiles and the digital elevation model in detailed scale. Then, superficial soils (0?20 cm) were sampled according to a grid pattern. Analysis of variance (ANOVA), kriging, and unsupervised classification methods were applied on physical and chemical data of superficial soils sampled according to grid pattern. This study aimed to compare both methods, the conventional soil mapping and the map produced with superficial soil sampling, about their potential for definition of the management zones, as an approach for precision agriculture. Maps elaborated by conventional soil mapping overlapped partially with the maps derived from superficial sampling, probably due to the specific methodological differences of each case. Anyway, both methods are complementary because of the focus on vertical variability and horizontal variability, respectively. In that sense, slope appears as significant edaphic parameter, due to its control on water circulation in the profile of soil.
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Artigo de periódico biblioteca |
Language: | English eng |
Published: |
2017-10-09
|
Subjects: | Three vineyards, Vale dos Vinhedos, Bento Goncalves, Rio Grande do Sul, Precision Viticulture, Soil mapping., Vineyards, Brazil., |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1076944 https://doi.org/10.1155/2017/4180965 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Data of the physical and chemical properties of soils from three vineyards located in Vale dos Vinhedos, Bento Gonc ̧alves, Rio Grande do Sul state, in southern Brazil, were processed. Soil mapping was performed by means of four profiles and the digital elevation model in detailed scale. Then, superficial soils (0?20 cm) were sampled according to a grid pattern. Analysis of variance (ANOVA), kriging, and unsupervised classification methods were applied on physical and chemical data of superficial soils sampled according to grid pattern. This study aimed to compare both methods, the conventional soil mapping and the map produced with superficial soil sampling, about their potential for definition of the management zones, as an approach for precision agriculture. Maps elaborated by conventional soil mapping overlapped partially with the maps derived from superficial sampling, probably due to the specific methodological differences of each case. Anyway, both methods are complementary because of the focus on vertical variability and horizontal variability, respectively. In that sense, slope appears as significant edaphic parameter, due to its control on water circulation in the profile of soil. |
---|