Big Data in Agriculture

Sadiku, Matthew N. O.; Ashaolu, Tolulope Joshua; Musa, Sarhan M.

doi:10.51542/ijscia.v1i1.9

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…According to Seles, Big Data can help governments develop intelligent regulations that drive proactive responses to climate change and improve organizational performance [70]. Moreover, farmers can leverage Agricultural Big Data and assess risks based on data to analyze the consequences of climate change on their environment [13]. In this sense, we have found few papers that include projects with government participation.…”

Section: Main Challenges and Trendsmentioning

confidence: 99%

“…Agricultural Big Data is still an area of development that can improve productivity in farming operations by using precision agriculture, data-based agriculture, smart agriculture, and predictive modeling [13], facilitating intelligent agricultural solutions from a climate point of view in the face of climate change and the effects of natural disasters [14].…”

Section: Introductionmentioning

confidence: 99%

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Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

et al. 2022

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Climate change is currently one of agriculture’s main problems in achieving sustainability. It causes drought, increased rainfall, and increased diseases, causing a decrease in food production. In order to combat these problems, Agricultural Big Data contributes with tools that improve the understanding of complex, multivariate, and unpredictable agricultural ecosystems through the collection, storage, processing, and analysis of vast amounts of data from diverse heterogeneous sources. This research aims to discuss the advancement of technologies used in Agricultural Big Data architectures in the context of climate change. The study aims to highlight the tools used to process, analyze, and visualize the data, to discuss the use of the architectures in crop, water, climate, and soil management, and especially to analyze the context, whether it is in Resilience Mitigation or Adaptation. The PRISMA protocol guided the study, finding 33 relevant papers. However, despite advances in this line of research, few papers were found that mention architecture components, in addition to a lack of standards and the use of reference architectures that allow the proper development of Agricultural Big Data in the context of climate change.

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Section: Main Challenges and Trendsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

et al. 2022

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show abstract

Section: Main Challenges and Trendsmentioning

confidence: 99%

Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

Cravero¹,

Bustamante²,

Negrier³

et al. 2022

Preprint

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Climate change is currently one of the main problems facing agriculture to achieve sustainability. It causes situations such as drought, increased rainfall, and increased diseases, causing a decrease in food production. In order to combat these problems, Agricultural Big Data contributes with tools that allow improving the understanding of complex, multivariate, and unpredictable agricultural ecosystems through the collection, storage, processing, and analysis of vast amounts of data from diverse heterogeneous sources. This research aims to discuss the advancement of technologies used in Agricultural Big Data architectures in the context of climate change. The study aims to highlight the tools used to process, analyze, and visualize the data and discuss the use of the architectures in the crop, water, climate, and soil management, especially to analyze the context, whether it is in Resilience Mitigation or Adaptation. The PRISMA protocol guided the study, finding 33 relevant papers. Despite the advances in this line of research, few papers were found that mention the components of the architectures, in addition to the lack of standards and the use of reference architectures, which allow the proper development of Agricultural Big Data in the context of climate change.

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“…If tractors transformed farming in the middle ages, the evolution of big data is revolutionizing the agriculture industry in our time. The big data revolution is modernizing the farming industry at a pace we have never witnessed [14]. Big data will change how farmers manage their work.…”

Section: Big Datamentioning

confidence: 99%

Emerging Technologies in Agriculture

Sadiku¹,

Ashaolu²,

Musa³

2020

International Journal of Scientific Advances

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Technology has been a major contributing factor in how we live, communicate, travel, and interact in the modern society. The great boom of technology is having huge impact on all industries, especially agriculture industry. Agriculture is the backbone of most developing economies. Today, agriculture is going through massive transformation due to digitization. New technologies such as robots, drones, and machine learning are supposed to help farmers improve efficiency and maximize yield. Emerging technologies have already proven to be a key driver in the future sustainability and profitability of agriculture. This paper provides an introduction to emerging technologies in agriculture.

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Big Data in Agriculture

Cited by 10 publications

References 7 publications

Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

Emerging Technologies in Agriculture

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