“…The increase in the efficiency of agricultural managements must contemplate the spatial and temporal variability existing at the field (Silva et al, 2015). Thus, it is possible to optimize the use of agricultural inputs with reduction of economic and environmental risks, obtaining greater profitability and quality of the products (Corwin & Lesch, 2003).…”
A B S T R A C TThe knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging from medium to high for cocoa cultivation. Soil fertility showed positive spatial correlation with cocoa yield, and its effect was predominant only for the off-season and annual cocoa.Variabilidade espacial da fertilidade do solo e sua relação com a produtividade do cacaueiro R E S U M O O conhecimento da variabilidade espacial das propriedades do solo e das culturas é importante para a tomada de decisão sobre o manejo agrícola. Objetivou-se, neste estudo, avaliar a variabilidade espacial da fertilidade do solo e sua relação com a produtividade do cacaueiro. O estudo foi realizado durante 14 meses em uma área cultivada com cacaueiros. Foram estudados, a partir de um grid amostral, os atributos químicos do solo e a produtividade do cacaueiro (estratificada em safra, temporão e anual). Os dados foram analisados pela estatística descritiva e pela geoestatística. Os atributos químicos foram classificados utilizando-se a lógica fuzzy, para construção de um mapa de fertilidade do solo, o qual foi correlacionado com os mapas das estratificações da produtividade. O solo da área, com exceção da região oeste, apresentou possibilidades de média a alta, para a condução da cultura do cacau. A fertilidade apresentou correlação espacial positiva com a produtividade do cacaueiro, sendo seu efeito preponderante para o cacau temporão e anual.
Key words:precision agriculture cocoa spatial variability fuzzy logic Palavras-chave: agricultura de precisão cacau geoestatística lógica fuzzy
“…The increase in the efficiency of agricultural managements must contemplate the spatial and temporal variability existing at the field (Silva et al, 2015). Thus, it is possible to optimize the use of agricultural inputs with reduction of economic and environmental risks, obtaining greater profitability and quality of the products (Corwin & Lesch, 2003).…”
A B S T R A C TThe knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging from medium to high for cocoa cultivation. Soil fertility showed positive spatial correlation with cocoa yield, and its effect was predominant only for the off-season and annual cocoa.Variabilidade espacial da fertilidade do solo e sua relação com a produtividade do cacaueiro R E S U M O O conhecimento da variabilidade espacial das propriedades do solo e das culturas é importante para a tomada de decisão sobre o manejo agrícola. Objetivou-se, neste estudo, avaliar a variabilidade espacial da fertilidade do solo e sua relação com a produtividade do cacaueiro. O estudo foi realizado durante 14 meses em uma área cultivada com cacaueiros. Foram estudados, a partir de um grid amostral, os atributos químicos do solo e a produtividade do cacaueiro (estratificada em safra, temporão e anual). Os dados foram analisados pela estatística descritiva e pela geoestatística. Os atributos químicos foram classificados utilizando-se a lógica fuzzy, para construção de um mapa de fertilidade do solo, o qual foi correlacionado com os mapas das estratificações da produtividade. O solo da área, com exceção da região oeste, apresentou possibilidades de média a alta, para a condução da cultura do cacau. A fertilidade apresentou correlação espacial positiva com a produtividade do cacaueiro, sendo seu efeito preponderante para o cacau temporão e anual.
Key words:precision agriculture cocoa spatial variability fuzzy logic Palavras-chave: agricultura de precisão cacau geoestatística lógica fuzzy
“…This observation can be corroborated by the research of Silva et al (2016), in which it was evaluated the influence of climatic conditions in the region of Matas de Minas on the quality of the coffees of 20 municipalities in the region, in which the authors concluded that even in the same or similar climatic conditions the samples presented different scores for the quality of the drink.…”
Section: Sensory Profile Of Pulped Coffees (Cd) and Natural Coffees (mentioning
The aim of this work was to evaluate the sensory profile of specialty coffees, natural and pulped, from the region of Matas de Minas in the State of Minas Gerais, Brazil and correlate the sensory scores with the chemical composition of the grains. Twenty samples of Arabica coffee were assessed (10 Natural and 10 Pulped), as the sensory profile (Cup of Excellence) and sucrose content, bioactive compounds and fatty acids of raw beans. The processed pulped coffees stood out as the final scores. The attributes sweetness, acidity and flavor were important for the distinction of the pulped coffees, while natural coffees the determining attributes were body and acidity. The bioactive compounds and sucrose showed positive and negative correlation with the sensory attributes, respectively. The acids C14:0, C18:2 and C18:3, were relevant to the sensory distinction of natural coffees. The acids C18:0 and C20:2 showed positive correlation, and acids C18:2 and C18:3, negative, with the sensory attributes of the pulped coffees. The specialty coffees of the region of Matas de Minas feature distinct sensory profiles and it is possible to correlate them with the chemical composition of the grains.
“…Both studies found that high altitude and annual rainfall under 1500 mm were favourable factors of coffee sensory quality (Decazy et al, 2003), east-facing slopes gave coffee beverages generally superior attributes (Avelino et al, 2005), and shade also positively affected coffee beans size and coffee beverage quality (Vaast et al, 2006). This was confirmed by Silva et al (2016) who recently found that the position and altitude of the fields are the main variables that influence coffee quality. Sanchez et al (2013) assessed the effect of soil properties on yield and quality of coffee and found that coffee grown on soils with high clay and available iron contents, and low pH and base saturation, provided the highest yield and best sensory quality.…”
Section: Introductionmentioning
confidence: 69%
“…Coffee is a specialty crop whose diversity in production systems allows products with defined attributes for different markets (Silva, de Queiroz, Ferreira, Correa, & Rufinod, 2016). Production of high quality Arabica coffee is considered to depend on three main factors: the genetic resource, environmental conditions, and management (Bosselmann et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Altitude determines microclimate in which coffee is grown and for the southern hemisphere (where Rwanda is located), fields with a face slope oriented to the south receive a smaller amount of solar radiation than do those oriented to the north (Bertrand et al, 2012). This lower amount of energy received affects the process of fruit ripening and thus the product quality (Bertrand et al, 2012;Silva et al, 2016).…”
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