Seeding rate in soybean according to the soil apparent electrical conductivity

Moura, Suzany S; FranÇa, Luiz T; Pereira, Vitor Silva; Teodoro, Paulo Eduardo; Baio, Fábio Henrique Rojo

doi:10.1590/0001-3765202020181112

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The ‘IoT’ and ‘UAV’ clusters show the potential and adaptability of small sensors for any agricultural scenario, whether in large crops or in mountainous areas that are difficult to cultivate [ 11 ], while the ‘CSA’ cluster shows that concern for the sustainable development of agriculture continues to grow and is characterized as one of the most important discussions in the arena of smart agriculture [ 97 , 100 ]. In addition, discussions related to deep learning and machine vision represent major technological adoptions in the field of agriculture, and themes like ‘APPARENT-ELECTRICAL-CONDUCTIVITY’ [ 174 ], ‘WATER-BALANCE’ [ 175 ] and ‘PROXIMAL-SOIL-SENSING’ [ 176 ] show that the concern with analyses of plants and soil remains extremely important for the digital transformation of agriculture.…”

Section: Resultsmentioning

confidence: 99%

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

Sott

Nascimento

Foguesatto

et al. 2021

Sensors

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The agriculture sector is one of the backbones of many countries’ economies. Its processes have been changing to enable technology adoption to increase productivity, quality, and sustainable development. In this research, we present a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, so-called Digital Agriculture. To do this, we used 4694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis of the literature using SciMAT software with the support of the PICOC protocol. Our findings presented 22 strategic themes related to Digital Agriculture, such as Internet of Things (IoT), Unmanned Aerial Vehicles (UAV) and Climate-smart Agriculture (CSA), among others. The thematic network structure of the nine most important clusters (motor themes) was presented and an in-depth discussion was performed. The thematic evolution map provides a broad perspective of how the field has evolved over time from 1994 to 2020. In addition, our results discuss the main challenges and opportunities for research and practice in the field of study. Our findings provide a comprehensive overview of the main themes related to Digital Agriculture. These results show the main subjects analyzed on this topic and provide a basis for insights for future research.

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Section: Resultsmentioning

confidence: 99%

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

Sott

Nascimento

Foguesatto

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The 'IoT' and 'UAV' clusters show the potential and adaptability of small sensors for any agricultural scenario, whether in large crops or in mountainous areas that are difficult to cultivate [11], while the 'CSA' cluster shows that concern for the sustainable development of agriculture continues to grow and is characterized as one of the most important discussions for smart agriculture [88,91]. In addition, discussions related to 'DEEP-LEARNING' and 'MACHINE-VISION' represent technological adoption in agriculture, and themes like 'APPARENT-ELECTRICAL-CONDUCTIVITY' [155], 'WATER-BALANCE' [156] and 'PROXIMAL-SOIL-SENSING' [157] show that the concern with analyzes of plants and soil remains extremely important for the digital transformation of agriculture.…”

Section: Third Subperiod (2018 -2020)mentioning

confidence: 99%

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Mk¹,

LdS²,

Cr³

et al. 2021

Preprint

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: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software. Our findings present 22 strategic themes related to Digital Agriculture (DA) such as Internet of Things (IoT) and Climate-smart Agriculture (CSA) among others, and the thematic network structures of the motor themes and the thematic evolution structure of the field of the study over time. In addition, our results discuss the main challenges and opportunities of DA. Our findings have the potential to provide insights for practitioners and researchers in decision-making and pave the way for future works.

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Effects of Second-Season Crops on Soybean Cultivation in Compacted Soil in Brazilian Cerrado

et al. 2022

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In no-tillage systems, soil compaction has caused negative impacts on crop productivity and soil quality. The objective of this study was to evaluate the soil physical quality after different crops of the second season: maize, sorghum, and millet in compacted and uncompacted soils, in addition to evaluating the performance of soybean in succession in Rhodic Ferralsol under no-tillage (NT) in the Brazilian Cerrado biome. A field experiment was conducted during the second season of 2019 and the first season of 2019/20 in Rio Verde, Brazil. The experimental design used randomized blocks in a 3 × 2 factorial scheme, with six replications. The first factor corresponded to the cultivation of maize, sorghum, and millet; the second factor was the cultivation of these crops in compacted and uncompacted soils. The physical properties of the soils in the 0–0.1 and 0.1–0.2 m depth layers were evaluated after the second season of cultivation, in addition to the agronomic characteristics of the soybean cultivated in succession. The results indicate that the compaction influenced the soil physical quality, mainly in the 0.1–0.2 m layer, reflecting a decrease in the performance of the soybean crop (i.e., the plant height, number of pods per plant, and grain yield). The use of the second-season crop of millet improved the soil physical properties of penetration resistance and macroporosity and improved the water/air relation. The use of millet provided a reduction of up to 20% in the soil penetration resistance. About 10% more soybean was produced after cultivation in succession to millet compared to maize and sorghum.

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Seeding rate in soybean according to the soil apparent electrical conductivity

Cited by 3 publications

References 23 publications

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Effects of Second-Season Crops on Soybean Cultivation in Compacted Soil in Brazilian Cerrado

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