To meet the grand challenges of agricultural production including climate change impacts on crop production, a tight integration of social science, technology and agriculture experts including farmers are needed. Rapid advances in information and communication technology, precision agriculture and data analytics, are creating a perfect opportunity for the creation of smart connected farms (SCFs) and networked farmers. A network and coordinated farmer network provides unique advantages to farmers to enhance farm production and profitability, while tackling adverse climate events. The aim of this article is to provide a comprehensive overview of the state of the art in SCF including the advances in engineering, computer sciences, data sciences, social sciences and economics including data privacy, sharing and technology adoption. More specifically, we provide a comprehensive review of key components of SCFs and crucial elements necessary for its success. It includes, high-speed connections, sensors for data collection, and edge, fog and cloud computing along with innovative wireless technologies to enable cyber agricultural system. We also cover the topic of adoption of these technologies that involves important considerations around data analysis, privacy, and the sharing of data on platforms. From a social science and economics perspective, we examine the net-benefits and potential barriers to data-sharing within agricultural communities, and the behavioral factors influencing the adoption of SCF technologies. The focus of this review is to cover the state-of-the-art in smart connected farms with sufficient technological infrastructure; however, the information included herein can be utilized in geographies and farming systems that are witnessing digital technologies and want to develop SCF. Overall, taking a holistic view that spans technical, social and economic dimensions is key to understanding the impacts and future trajectory of Smart and Connected Farms.
more »
« less
Smart Agriculture: Current State, Opportunities, and Challenges
Smart agriculture or precision farming is a rapidly evolving multidisciplinary field encompassing knowledge from agriculture, technology, data science, and environmental science to name a few. Amidst the large number of recent research publications related to smart agriculture and intelligent farming practices, a need arises to summarize their findings in a single consolidated review article. This work endeavors to summarize recent key technologies and applications of smart agriculture, delineate the prevalent challenges it faces, highlight its publicly available datasets for adoption, and offer some policy guidelines for stakeholders, assisting them in making informed decisions regarding technology adoption and investment. We conclude that smart agriculture can potentially revolutionize the agricultural sector, provided we overcome the challenges by ensuring effective collaboration among stakeholders, a strong infrastructure, digital literacy, adoption incentives, data privacy, interoperability, favorable policy frameworks, and continuous research and development.
more »
« less
- Award ID(s):
- 2019511
- PAR ID:
- 10648787
- Publisher / Repository:
- IEEE Access
- Date Published:
- Journal Name:
- IEEE Access
- Volume:
- 12
- ISSN:
- 2169-3536
- Page Range / eLocation ID:
- 144456 to 144478
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Precision Agriculture (PA) manages field heterogeneities and enables informed site-specific management. While PA helps improve farming efficiency and profitability, challenges prior to and following PA adoption can prevent many farmers from widely using it. This paper aims to understand producers’ challenge perceptions using 1119 survey responses from U.S. Midwest farmers. The majority (59%) of respondents have adopted at least one PA technology, while the minority (14%) had not adopted any PA technologies. Cost (equipment and service fee), brand compatibility, and data privacy concerns topped other concerns from the average producer’s point of view. Among all producers, 60% regarded PA equipment and service fee as too high, followed by 50% who viewed brand compatibility and data privacy as their major concerns. Producers at more advanced adoption stage indicated reduced concerns in most categories. Yet, there were similar concerns towards data privacy issue regardless of the adoption status. Furthermore, brand compatibility issue is more of a concern for adopters than for non-adopters. Estimation results from partial proportional odds (PPO) models show that factors that frequently affect producers’ perceived challenges include adoption status, cropland acres, age, education, information sources, farming goals, soil characteristics, and region variables. Findings from this study can aid PA stakeholders in identifying target groups, tailoring future development, research, and outreach efforts, and ultimately promoting efficient PA usage on a broader scale.more » « less
-
Recent years have seen increased investment in data-driven farming through the use of sensors (hardware), algorithms (software), and networking technologies to guide decision making. By analyzing the discourse of 34 startup company websites, we identify four future visions promoted by data-driven farming startups: the vigilant farmer who controls all aspects of her farm through data; the efficient farmer who has optimized his farm operations to be profitable and sustainable; the enlightened farmer who achieves harmony with nature via data-driven insights; and the empowered farmer who asserts ownership of her farm's data, and uses it to benefit herself and her fellow farmers. We describe each of these visions and how startups propose to achieve them. We then consider some consequences of these visions; in particular, how they might affect power relations between the farmer and other stakeholders in agriculture--farm workers, nonhumans, and the technology providers themselves.more » « less
-
This study explores factors promoting and inhibiting advanced technology adoption in small- and medium-sized manufacturing firms (SMEs). With AI’s rapid advancement impacting productivity and efficiency across industries, understanding the challenges that SMEs face to remain competitive is crucial. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical framework, we analyzed managers, engineers, and line workers’ observations on workforce challenges, training needs, and opportunities faced by SMEs to provide insights into their smart manufacturing deployment experiences. Our findings highlight social influence’s role in promoting technology adoption, emphasizing community, shared experiences, and collaborative networks. Conversely, effort expectancy emerged as the largest inhibitor, with concerns about the complexity, time, and resources required for implementation. Individuals were also influenced by factors of facilitating conditions (organizational buy-in, infrastructure, etc.) and performance expectancy on their propensity to adopt advanced technology. By fostering positive organizational environments and communities that share success stories and challenges, we suggest this can mitigate the perceived effort expected to implement new technology. In turn, SMEs can better leverage AI and other advanced technologies to maintain global competitiveness. The research contributes to understanding technology adoption dynamics in manufacturing, providing a foundation for future workforce development and policy initiatives.more » « less
-
In recent years regenerative agriculture has attracted growing attention as a means to improve soil health and farmer livelihoods while slowing climate change. With this attention has come increased policy support as well as the launch of private sector programs that promote regenerative agriculture as a form of carbon farming. In the United States many of these programs recruit primarily in regions where large-scale commodity production prevails, such as the Great Plains. There, a decades-old regenerative agriculture movement is growing rapidly, but not due to the incentives offered by companies’ carbon programs. On the contrary, farmers are adopting regenerative practices to cut their dependence on corporate agrochemical inputs and expertise, and to thereby achieve technology sovereignty. These practice changes often strain farmers’ existing social relationships while drawing them into new and previously neglected ones, including the more-than-human relations necessary for building soil health. These new relationships and the knowledge they generate may in turn lead farmers to think differently about their own autonomy. These findings provide insight into farmers’ skepticism of private sector carbon farming programs, and highlight the value of attention to the multiple types of relationship change that accompany and facilitate regenerative transitions.more » « less
An official website of the United States government

