Mapping the Spatial Variability of Coffee Yield with Mechanical Harvester

The spatial distribution and levels of available plant nutrients (elements) in the soil can limit coffee yield and must be evaluated for effective crop management. Therefore, we analyzed spatial variability in yield and plant nutrients in the saturation extract of a clayey Oxisol cropped with fertigated coffee. The experiment was carried out on 14 hectares of coffee in Monte Carmelo, Minas Gerais, Brazil. Soil samples were collected (0 - 0.2m layer) at 61 regular grid points (spaced 50x50m) and used to determine plant nutrients in the saturation extract. Coffee yield was also determined at these points. Descriptive statistics were calculated for each variable and geostatistics were used to build a spatial variability model representing the physical attributes of the soil. Variographic analysis was performed using semivariograms. These showed that yield and soil chemistry varied throughout the study site. Thus, the maps generated from geostatistics can be useful tools for soil management in fertigated coffee crops.

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Sampling and mapping of heterogeneous surfaces: multi-resolution tiling adjusted to spatial variability

International Journal of Geographical Information Systems ◽

10.1080/026937996137756 ◽

1996 ◽

Vol 10 (7) ◽

pp. 851-876

Author(s):

Ferenc Csillag ◽

Miklos Kertesz ◽

Agnes Kummert

Keyword(s):

Spatial Variability ◽

Heterogeneous Surfaces

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Spatial variability induces generalization in contextual cueing.

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/xlm0000796 ◽

2020 ◽

Vol 46 (12) ◽

pp. 2295-2313

Author(s):

Yoko Higuchi ◽

Yoshiyuki Ueda ◽

Kazuhisa Shibata ◽

Jun Saiki

Keyword(s):

Spatial Variability ◽

Contextual Cueing

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Spatial variability in responses to environmental conditions in Southern Hemisphere long-finned pilot whales

Marine Ecology Progress Series ◽

10.3354/meps13109 ◽

2019 ◽

Vol 629 ◽

pp. 207-218 ◽

Cited By ~ 1

Author(s):

V Hamilton ◽

K Evans ◽

B Raymond ◽

E Betty ◽

MA Hindell

Keyword(s):

Spatial Variability ◽

Southern Hemisphere ◽

Environmental Conditions ◽

Pilot Whales

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DISTRIBUIÇÃO DA EVAPORAÇÃO EM ESTUFA PLÁSTICA NA PRIMAVERA

Irriga ◽

10.15809/irriga.2001v6n3p120-127 ◽

2001 ◽

Vol 6 (3) ◽

pp. 120-127

Author(s):

Reginaldo Ferreira Santos ◽

Antonio Evaldo Klar

Keyword(s):

Spatial Variability ◽

Pan Evaporation ◽

Spring Season ◽

Class A ◽

Agricultural Sciences ◽

E Mail ◽

Center Area ◽

Class A Pan

DISTRIBUIÇÃO DA EVAPORAÇÃO EM ESTUFA PLÁSTICA NA PRIMAVERA Reginaldo Ferreira SantosCentro de Ciências Exatas e Tecnológica da UNIOESTE- CP 711CEP 858114-110, Cascavel, PR - Fone: 0XX45 2203155. E-mail: [email protected] Evaldo KlarDepartamento de Engenharia Rural - Faculdade de Ciências Agronômica- UNESP - CEP 18603-970 - Botucatu, SP. CP: 237. E-mail: [email protected] 1 RESUMO O presente trabalho teve como objetivo avaliar a distribuição da evaporação no interior de uma estufa plástica, com uma cultura de pimentão, através da variabilidade espacial e comparar a evaporação dos microevaporímetros com os valores do Tanque classe "A". O experimento foi conduzido no Campus da Universidade Estadual Paulista - FCA/UNESP, no período de primavera, em estufa plástica de polietileno de baixa densidade (PEBD). Na distribuição da evaporação em estufa com orientação norte/sul, verificou-se que as maiores evaporações ocorreram nas extremidades sul e norte tendente ao lado oeste. Já as menores evaporações localizaram-se no centro. No período de primavera, a evaporação média nos microevaporímetros superestimou em 55% a evaporação determinada no Tanque classe "A". UNITERMOS: evaporação, geoestatística, estufa. SANTOS, R.F, KLAR, A.E. EVAPORATION DISTRIBUTION INSIDE A PLASTIC TUNNEL IN THE SPRING SEASON 2 ABSTRACT The main aim of this study was to verify the evaporation distribution inside a plastic tunnel, with pepper crop, oriented to north/south, through spatial variability and to compare Class A Pan evaporation to punctual evaporations of 40 equidistant microevaporimeters placed from 50cm the soil. The study was carried out at the College of Agricultural Sciences/UNESP, Botucatu – SP in the spring season. The highest evaporation occurred next to north and to south sides of the tunnel, with tendency to west. Consequently, the lowest evaporations occurred at the center area. The microevaporimeter evaporations were 55% higher than those obtained from Class A Pan. KEYWORDS: evaporation distribution, microevaporimeter.

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