Arkansas producers value upload speed more than download speed for precision agriculture applications

Manlove, Jacob; Shew, Aaron M.; Obembe, Oladipo S.

doi:10.1016/j.compag.2021.106432

Cited by 10 publications

(8 citation statements)

References 23 publications

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“…The use of precision-agriculture-applied automated management technology systems and geographic information systems has led to increased yields, while also reducing the adverse impact on the environment [32]. Environmental benefits of precision agriculture compared to traditional agriculture include the potential to reduce waste from fertilizer and pesticide application, save water [42,43], and mitigate agricultural greenhouse gas emissions [34]. Unfortunately, precision agriculture can only be adopted by farmers who have access to broadband due to the technological requirements [44].…”

Section: Theoretical Analysis and Hypothesesmentioning

confidence: 99%

“…Precision agriculture supported by broadband internet is widely considered to have more environmental benefits than drawbacks. For example, compared with traditional agriculture, the environmental benefits of precision agriculture include the possibility of reducing agricultural greenhouse gas emissions [34,35]. Unfortunately, the policy-related mechanisms of technology adoption required for green agriculture are rarely explored.…”

Section: Introductionmentioning

confidence: 99%

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Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Pan

Liu²,

Zhu³

et al. 2022

IJERPH

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Based on the Environmental Kuznets Curve (EKC) hypothesis, this paper examines whether rural broadband adoption affects agricultural carbon reduction efficiency (ACRE), using panel data from 30 Chinese provinces from 2011 to 2019. This paper achieves a measurement of ACRE by taking the carbon sink of agricultural as one of the desired outputs and using a Slacks-Based Measure (SBM) model and the global Malmquist–Luenberger (GML) index. The results show that: (1) Rural broadband adoption has a positive effect on ACRE. The relationship between the income of rural residents and ACRE was an inverted U-shaped, which confirms the EKC hypothesis. (2) Land transfer has a significant promoting effect on the relationship between rural broadband adoption and ACRE. When the land transfer rate is high, the positive effect of broadband adoption is obvious. (3) The positive effect of broadband adoption on ACRE was more obvious when farmers invested more in production equipment, that is to say, it has a significant positive moderating effect. As farmers in many developing countries suffer from increasingly frequent and severe extreme weather events, we believe that the results of this study also have implications for the implementation of agricultural carbon reduction and smart agricultural equipment roll-out in many countries.

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Section: Theoretical Analysis and Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Pan

Liu²,

Zhu³

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…In the United States, data from the Federal Communications Commission (FCC) Form 477 data was used in several studies (Prieger 2003; Grubesic and Murray 2004; Deller and Whitacre 2019; LoPiccalo 2022; Conroy and Low 2022). Surveys were popular sources of data in adoption (Madden et al 2000; LaRose et al 2007; Dutz et al 2012; Dickes et al 2019) and business-oriented studies (Shore et al 2011; Drewry et al 2019; Manlove et al 2021). Information from the National Broadband Map (NBM) was also used in some studies (Whitacre, Gallardo, and Strover 2014a, 2014b; Molnar et al 2019; Xu et al 2019; Deller et al 2022), but was not as popular as the Form 477 data or survey data.…”

Section: Resultsmentioning

confidence: 99%

“…LoPiccalo (2022) noted farmers in counties with higher broadband penetration had better yields for corn and soybeans and lower costs for connections with 10 Mbps downstream and 0.768 Mbps upstream. A more recent study by Manlove et al, 2021 indicated the importance of upload speeds and connection reliability to precision agriculture activities. Specifically, producers were willing to pay more for upload speed ($1.07-1.34 per Mbps) compared to download speed ($0.02-0.03 per Mbps).…”

Section: Resultsmentioning

confidence: 99%

A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022)

Mack,

Loveridge,

Keene

et al. 2023

International Regional Science Review

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This article provides a systematic review of the quantitative social science research on broadband Internet technology in rural areas. Specifically, we summarize the literature on 1) rural broadband availability and adoption behaviors and 2) the implications of these behaviors for rural businesses, public policy initiatives, and regional development. In the studies reviewed, rural areas suffer from both lower availability and lower adoption rates compared to their urban counterparts. However, researchers disagree on whether supply frictions inherent to rural areas or heterogeneous demand and adoption behaviors are the major cause of this outcome. Researchers widely agree that high-speed Internet improves economic outcomes of rural areas, whether it is through increases in business activity or in more general economic development measures (e.g. productivity, jobs, income). Impact evaluations of rural broadband policy initiatives produced mixed results, highlighting the need for a better understanding of agents’ incentives. This review points to four areas for future research. One, assessments of the long-term impact of broadband on rural economies. Two, analyses of the net effect of broadband on economic development outcomes (e.g. migrants, job creation). Three, assessments of economic development impacts associated with broadband speed. Four, assessments of the efficacy of broadband policies.

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“…In the last decade, the use of technologies in agriculture has also increased significantly through the usage of geographic information systems (GIS), and global navigation satellite systems (GNSS), remote sensing, RPAS, machinery and other technologies that have supported precision agriculture [5][6][7]. The incorporation of these disciplines allows the collection, processing and analysis of temporal, spatial and individual data and combines them with other data for the implementation of adequate solutions in the use of resources, productivity, quality, profitability and sustainability of agricultural production [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Yield Predictions of Four Hybrids of Maize (Zea mays) using Multispectral Images Obtained from RPAS in the Coast of Peru

Saravia¹,

Salazar²,

Valqui-Valqui³

et al. 2022

Preprint

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Early assessment of crop development is a key aspect of precision agriculture. Shortening the time of response before a deficit of irrigation, nutrients and damage by diseases is one of the usual concerns in agriculture. Early prediction of crop yields can increase profitability in the farmer's economy. In this study we aimed to predict the yield of four maize commercial hybrids (Dekalb7508, Advanta9313, MH_INIA619 and Exp_05PMLM) using remotely sensed spectral vegetation indices (VI). A total of 10 VI (NDVI, GNDVI, GCI, RVI, NDRE, CIRE, CVI, MCARI, SAVI, and CCCI) were considered for evaluating crop yield and plant cover at 31, 39, 42, 46 and 51 days after sowing (DAS). A multivariate analysis was applied using principal component analysis (PCA), linear regression, and r-Pearson correlation. In the present study, highly significant correlations were found between plant cover with VIs at 46 (GNDVI, GCI, RVI, NDRE, CIRE and CCCI) and 51 DAS (GNDVI, GCI, NDRE, CIRE, CVI, MCARI and CCCI). The PCA indicated a clear discrimination of the dates evaluated with VIs at 31, 39 and 51 DAS. The inclusion of the CIRE and NDRE in the prediction model contributed to estimate the performance, showing greater precision at 51 DAS. The use of RPAS to monitor crops allows optimizing resources and helps in making timely decisions in agriculture in Peru.

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Arkansas producers value upload speed more than download speed for precision agriculture applications

Cited by 10 publications

References 23 publications

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China

A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022)

Yield Predictions of Four Hybrids of Maize (Zea mays) using Multispectral Images Obtained from RPAS in the Coast of Peru

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