Spatial variability of plant attributes in a coffee plantation

Abstract

RESUMO-Objetivou-se com esse trabalho caracterizar a estrutura e a magnitude da distribuição espacial de atributos da planta em lavoura cafeeira e realizar o mapeamento desses atributos de forma a visualizar a distribuição espacial, considerando a dependência espacial destes atributos, demostrando a importância deste mapeamento. Este trabalho foi conduzido na fazenda Brejão no município de Três Pontas, Minas Gerais, utilizando-se os seguintes atributos da planta: Produtividade,

Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

“…Through PA techniques such as semivariogram and kriging maps, several studies have analyzed the detachment force of green and red fruits in coffee crops [28], [84], [85] Other works explored the level of soil nutrients and its relationship with coffee crop productivity [80], [86]- [90], and the impact of compaction, density and soil penetration resistance (SPR) on plant productivity and development [83], [91]. Other works used sensors and geostatistics to identify the apparent soil electrical conductivity [92], to measure micronutrients and nutritional status of plants [93], and to analyze the soil fertilizer contents [94].…”

“…The A4.0 in the coffee field represents techniques and technologies that assist farmers in managing singularities of production, such as soil properties, fertilization and harvest to increase the efficiency, productivity and quality of coffee production [13]. In the coffee sector, the application of A4.0 technologies and PA techniques is commonly known as precision coffee growing [28].…”

Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System

“…The three study sub-areas were standardized in 0.60 ha, with 15 planting rows and 200 plants per study row, totaling 3000 plants per area. For this study, 5 sampling points were considered, distributed in a systematic way for each area, with each sampling point composed of 4 coffee plants, according to the methodology described by Ferraz et al [13], which indicates sampling of two plants located in the row of coffee trees (considered the central point) and two more plants in each row on either side of the central point, totaling 20 plants per area and 60 plants in the entire study area, as depicted in Figure 3. matological data from Inmet (Brazilian National Institute of Meteorology, Minas Gerais, Brazil), it was possible to characterize the annual average precipitation and average, maximum, and minimum temperatures of the region (Figure 4).…”

Application of RGB Images Obtained by UAV in Coffee Farming

“…A total of 144 plants were selected for this study according to the methodology described in [35]; these plants were georeferenced using the same equipment described for the GCPs. Data on the plant height (H) and crown diameter (D) were collected during the study period by using a 0.01 m wide tape measure with maximum length of 2.50 m. Dm was measured in the middle third of each plant.…”