Precision agriculture and the digital contributions for site-specific management of
            the fields

Molin, José Paulo; Bazame, Helizani Couto; Maldaner, Leonardo Felipe; Corrêdo, Lucas de Paula; Martello, Maurício; Canata, Tatiana Fernanda

doi:10.5935/1806-6690.20200088

Cited by 8 publications

(8 citation statements)

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“…Agricultura 4.0 La agricultura 4.0 se origina de la conceptualización del paradigma de la Industria 4.0, en consecuencia, se pueden formular hipótesis sobre las revoluciones en la agricultura, que han ido de la mano con las innovaciones en el sector industrial [14]. Este concepto toma muchos nombres, también llamada Agricultura Digital o Smart Farming, fue diseñada principalmente para tratar con el aumento de la productividad, la asignación de recursos (tierra, agua, energía), adaptar la cadena de suministro a los cambios climáticos y evitar el desperdicio de alimentos [15]. La Agricultura 4.0 une los conceptos de Agricultura de Precisión-AP y Agricultura Climáticamente Inteligente-CSA, con un fuerte enfoque en las tecnologías digitales como herramientas para realizarlos [16].…”

Section: Contribuciones Y Resultadosunclassified

Plataformas Tecnológicas en la Agricultura 4.0: una Mirada al Desarrollo en Colombia

Beltran

2022

CESTA

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Las Plataformas Tecnológicas son una de las herramientas más transcendentales para incrementar la competitividad de las industrias y, por ende, de un país, al generar innovación y la transferencia de tecnologías y generación de nuevos conocimientos. La presente revisión tiene como propósito identificar las principales características de las plataformas tecnológicas, relacionadas con la Agricultura que han sido desarrolladas en Colombia. En una primera fase el estudio analiza el marco conceptual de agricultura 4.0 y en una segunda fase se identifican las características, prácticas y aspectos relevantes de 3 Plataformas tecnológicas (PT), en las áreas de geo-informática, la variabilidad climática y desarrollo agrícola puestas a disposición, por la Corporación colombiana de investigación agropecuaria (AGROSAVIA). Esta investigación es abordada desde el método inductivo dado que este razonamiento es de gran utilidad, al establecer un vínculo de unión entre teoría y observación. Una primera etapa se desarrolló mediante el enfoque exploratorio-descriptivo y en una fase final se presenta la construcción de las características de cada una de las PT desarrolladas para el uso en la agricultura. Los procesos de investigación y de análisis da como resultado el establecimiento de los principales beneficios y retos de las Plataformas Tecnológicas para impulsar la agricultura.

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Section: Contribuciones Y Resultadosunclassified

Plataformas Tecnológicas en la Agricultura 4.0: una Mirada al Desarrollo en Colombia

Beltran

2022

CESTA

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“…It is pertinent to note that researchers study a group of digital infrastructures that share the same features. See for example: virtual or cloud computing (Gill et al, 2017;Molin et al, 2021), global positioning system (GPS), geographic information system (GIS) and Unmanned Aerial Vehicle (UAV) (Himesh et al, 2018;Lajoie-O'Malley et al, 2020;Potgieter et al, 2021).…”

Section: A Digital Agriculturementioning

confidence: 99%

Systematic Literature Review: An overview of Digital Agriculture for Food Sustainability

Mustapha

Sakariyau

Zubairu

et al. 2022

ijebd

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Digital agriculture has been noted to have far reaching prospects in the transformation of agribusiness. Digital technologies are been applied to improve food production, processing, security and packaging. As most of the least developed and developing economies are strategizing to reduce poverty and hunger, digital agriculture presents opportunities to reverse the trends. Thus, this paper presents a systematic literature review with aim to collect all related research and identify gaps in digital agriculture, as well as to understand the benefits of digital technology in agriculture in other to chart new proposition for future studies. A systematic literature review was carried, and we have extracted 67 journals published within the last two decades (2002 -2022). Findings suggests that digital agriculture is important drivers of food sustainability, with improve production yield and increase household income. Also, 42% of the studies on digital agriculture are dominated by precision agriculture model. This SLR recognizes knowledge gaps in relation to the context, theory and content for future research.

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“…For example, the interaction between biotic and abiotic factors can reflect a crop's spatial variability within the fields. Therefore, the adoption of precision agriculture techniques (PA) provides tools that help stakeholders address crop spatial variability [2,3]. For example, one possible strategy for managing the spatial variability of crops is the use of variable rate seeding (VRS) to optimize the use of environmental resources [4].…”

Section: Introductionmentioning

confidence: 99%

Definition of Optimal Maize Seeding Rates Based on the Potential Yield of Management Zones

et al. 2021

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The decision on crop population density should be a function of biotic and abiotic field parameters and optimize the site-specific yield potential, which can be a real challenge for farmers. The objective of this study was to investigate the yield of maize hybrids subjected to variable rate seeding (VRS) and in differentiated management zones (MZs). The experiment was conducted between 2013 and 2015 in a commercial field in the Central-West region of Brazil. First, MZ were delineated using the K-means algorithm with layers involving soil electrical conductivity, yield maps from previous years, and elevation. Seven maize hybrids at five seeding rates were evaluated in the context of each MZ and the cause-and-effect relationship with soil attributes was investigated. Optimal yields were obtained for crop population densities between 70,000 plants ha−1 and 80,000 plants ha−1. Hybrids which perform well under higher densities are key in achieving positive results using VRS. The plant population densities that resulted in maximum yields were obtained for densities at least 27% higher than the recommended seeding rates. The yield variance between MZs can be explained by the variance in soil attributes, while the yield variance within MZs can be explained by the variance in plant population densities. The study shows that on-farm experimentation can be key for obtaining information concerning yield potential. The management by VRS in different MZs is a low-cost technique that can reduce input application costs and optimize yield according to the site-specific potential of the field.

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Precision agriculture and the digital contributions for site-specific management of the fields

Cited by 8 publications

References 0 publications

Plataformas Tecnológicas en la Agricultura 4.0: una Mirada al Desarrollo en Colombia

Plataformas Tecnológicas en la Agricultura 4.0: una Mirada al Desarrollo en Colombia

Systematic Literature Review: An overview of Digital Agriculture for Food Sustainability

Definition of Optimal Maize Seeding Rates Based on the Potential Yield of Management Zones

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