11 pages, Existing research and practice related to digital agriculture technology adoption is largely focused on large-scale producers. In this paper, we describe a case of adopting an advanced soil monitoring system in a community-based agricultural organization. We provide guidance for Extension professionals seeking to implement or promote digital agriculture technology adoption on: selecting appropriate technology, incorporating new technology into existing practices, harnessing local technology champions, and avoiding data-driven mission creep.
Gopi, Arepalli (author), Sudha, L. R. (author), and Joseph, S. Iwin Thanakumar (author)
Format:
Book chapter
Publication Date:
2025-01-24
Published:
Scrivener Publishing LLC
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 209 Document Number: D13544
Journal Title Details:
299-319
Notes:
21 pages, chapter 16 from "Smart Factories for Industry 5.0 Transformation", Sensor technologies enable data-driven, efficient, and sustainable precision agriculture. This initiative monitors, manages, and predicts plant diseases using sensors, cloud computing, and data analytics to improve crop health and productivity. Plant and environmental data is monitored by soil, humidity, temperature, and leaf wetness sensors. Machine learning algorithms discover illness outbreak trends and abnormalities in real-time data on a cloud platform. According to the study, a complete IoT infrastructure easily transfers data from field sensors to cloud servers and decision support tools to end-users. Edge computing preprocesses data and delivers only relevant data to the cloud, decreasing latency and bandwidth. This allows fast, accurate disease prediction models to warn farmers of new hazards for proactive management. The study also examines how alternate communication protocols increase data transfer in agricultural fields with poor circumstances. We also explore how geospatial and sensor data accurately map and quantify disease risk. Cloud-based data analytics improves sickness prediction, operational efficiency, and resource management, this study revealed. This integrated strategy reduces plant diseases, herbicides, and fertilizers, improving sustainability. The scalable, cost-effective answers to modern farming problems in this research support precision agriculture.
15 pages, Agriculture is a significant contributor to the global economy and critical for future food and fibre production. To maximise the industry efficiencies and improve sustainability, a knowledgeable workforce is essential. Today’s school-aged youth will be the next generation agriculture workforce. However, there is concern that today’s youth are more detached from agriculture than ever before, viewing the industry as an unattractive career prospect and possessing low levels of agricultural literacy. Using a qualitative approach, this research presents the results from an open-response survey item asking Australian primary and secondary students to ‘list three words you think of when you hear the word ‘agriculture’’. Focus groups with Australian primary and secondary teachers were also conducted to explore these findings. Overall, students appear to have what can be described as a conventional understanding of agriculture as it relates to traditional farming, particularly animal production. However, students appeared to have a lower level of understanding and perception of the industry in less-traditional settings, including modern careers and the technologies involved. Improved agricultural education in Australia, including both formal and informal programs on possible career paths and technology adoption in the industry is recommended to support knowledge development of the modern sector to attract the next generation workforce.
18 pages, Digital agriculture has been developing rapidly over the past decade. However, studies have shown that the need for more ability to use these tools and the shortage of knowledge contribute to current farmer unease about digital technology. In response, this study investigated the influence of communication channels—mass media, social media, and interpersonal meetings—on farmers’ adoption, decision-making, and benefits obtained using technologies. The research uses data from 461 farmers in Brazil and 340 farmers in the United States, leaders in soybean production worldwide. The results show differences and similarities between these countries. LinkedIn has the highest positive association in Brazil between the communication channels and the digital agriculture technologies analyzed. In the United States, YouTube has the highest positive correlation. The overall influence of social media among Brazilian farmers is higher than among American farmers. The perceived benefits of using digital tools are more strongly associated with mass media communication in the United States than in Brazil. Regarding farm management decision-making, the study showed a higher relevance of interpersonal meetings in Brazil than in the United States. Findings can aid farmers, managers, academics and government decision makers to use communication channels more effectively in evaluating and adopting digital technologies.
Levinson, Jeremy (author), Lamie, Dave (author), Vassalos, Michael (author), Eck, Chris (author), Chong, Juang (author), and Reay-Jones, Francis P. F. (author)
Format:
Journal article
Publication Date:
2024-05-15
Published:
USA: Association for Communication Excellence in Agriculture, Natural Resources, and Life and Human Sciences (ACE)
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 208 Document Number: D13277
9 pages, The Train-the-Trainer approach is widely used in Cooperative Extension education to efficiently disseminate research-based information to many clientele groups, including farmers. This paper compares the traditional Train-the-Trainer model to a comprehensive Collaborative Train-the-Trainer model and discusses weaknesses of the traditional model that are addressed in the Collaborative model. Sources of information used by farmers (growers) and overall effectiveness were measured through a survey instrument created and distributed to farmers in South and North Carolina. The Collaborative Train-the-Trainer model, which emphasizes peer-to-peer interaction and feedback loops, represents an enhanced approach for conceptualizing and implementing Extension educational programs.
Wilms, Lisa (author), Komainda, Martin (author), Hamidi, Dina (author), Riesch, Friederike (author), Horn, Juliane (author), and Isselstein, Johannes (author)
Format:
Journal Article
Publication Date:
2024-04-15
Published:
USA: Oxford University Press
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 209 Document Number: D13552
11 pages, Virtual fencing (VF) is a modern fencing technology that requires the animal to wear a device (e.g., a collar) that emits acoustic signals to replace the visual cue of traditional physical fences (PF) and, if necessary, mild electric signals. The use of devices that provide electric signals leads to concerns regarding the welfare of virtually fenced animals. The objective of this review is to give an overview of the current state of VF research into the welfare and learning behavior of cattle. Therefore, a systematic literature search was conducted using two online databases and reference lists of relevant articles. Studies included were peer-reviewed and written in English, used beef or dairy cattle, and tested neck-mounted VF devices. Further inclusion criteria were a combination of audio and electrical signals and a setup as a pasture trial, which implied that animals grazed in groups on grassland for 4 h minimum while at least one fence side was virtually fenced. The eligible studies (n = 13) were assigned to one or two of the following categories: animal welfare (n studies = 8) or learning behavior (n studies = 9). As data availability for conducting a meta-analysis was not sufficient, a comparison of the means of welfare indicators (daily weight gain, daily lying time, steps per hour, daily number of lying bouts, and fecal cortisol metabolites [FCM]) for virtually and physically fenced animals was done instead. In an additional qualitative approach, the results from the welfare-related studies were assembled and discussed. For the learning behavior, the number of acoustic and electric signals and their ratio were used in a linear regression model with duration in days as a numeric predictor to assess the learning trends over time. There were no significant differences between VF and PF for most welfare indicators (except FCM with lower values for VF; P = 0.0165). The duration in days did not have a significant effect on the number of acoustic and electric signals. However, a significant effect of trial duration on the ratio of electric-to-acoustic signals (P = 0.0014) could be detected, resulting in a decreasing trend of the ratio over time, which suggests successful learning. Overall, we conclude that the VF research done so far is promising but is not yet sufficient to ensure that the technology could not have impacts on the welfare of certain cattle types. More research is necessary to investigate especially possible long-term effects of VF.
14 pages, University agricultural educators are challenged to employ innovative approaches to prepare undergraduates in agriculture and natural resources to address complex global problems while understanding interconnected systems. Undergraduates, current members of Generation Z (Gen Z), prefer environmental sustainability and innovation, but solutions for addressing these preferences in educational settings remain elusive. Exploring Gen Z’s environmental consumption values and how those values relate to their systems thinking tendencies may provide university educators with insights on how to best educate Gen Z students. The purpose of this study was to examine the association between Gen Z students’ green consumer values and systems thinking tendencies. Data were collected using a web-based survey instrument of 68 undergraduate students at the University of [state]. Findings revealed respondents somewhat agreed they had green consumer values and respondents often used systems thinking when seeking to make an improvement. A Spearman’s rank-order correlation coefficient indicated a positive, yet weak, association between systems thinking tendencies and green consumer values. The association necessitates further exploration. University agricultural educators should incorporate systems thinking educational tools into classrooms so Gen Z students can effectively engage in systems thinking when addressing complex agricultural issues, like sustainability. Additional implications for systems thinking teaching are explored.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12971
Notes:
10 pages, Toxins, pollution and invisible boundary lines are obstacles to harvesting bivalves such as clams and oysters. A new cohort of cellphone and web apps promises to help people farm and harvest shellfish more responsibly.
Bin, Li (author), Shahzad, Muhammad (author), Khan, Hira (author), Bashir, Muhammad Mehran (author), Ullah, Arif (author), and Siddique, Muhammad (author)
Format:
Journal article
Publication Date:
2023-09-18
Published:
Switzerland: MDPI
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12959
20 pages, Sustainable agriculture is a pivotal driver of a nation’s economic growth, especially considering the challenge of providing food for the world’s expanding population. Agriculture remains a cornerstone of many nations’ economies, so the need for intelligent, sustainable farming practices has never been greater. Agricultural industries worldwide require sophisticated systems that empower farmers to manage their crops efficiently, reduce water wastage, and optimize yield quality. Yearly, substantial crop losses occur due to unpredictable environmental changes, with improper irrigation practices being a leading cause. In this paper, we introduce an innovative irrigation time control system for smart farming. This system leverages fuzzy logic to regulate the timing of irrigation in cotton crop fields, effectively curbing water wastage while ensuring that crops receive neither too little nor too much water. Additionally, our system addresses a common agricultural challenge: whitefly infestations. Users can adjust climatic parameters, such as temperature and humidity, through our system, which minimizes both whitefly populations and water consumption. We have developed a portable measurement technology that includes air humidity sensors, temperature sensors, and rain sensors. These sensors interface with an Arduino platform, allowing real-time climate data collection. This collected climate data is then sent to the fuzzy logic control system, which dynamically adjusts irrigation timing in response to changing environmental conditions. Our system incorporates an algorithm that generates highly effective (IF-THEN) fuzzy logic rules, significantly improving irrigation efficiency by reducing overall irrigation duration. By automating the irrigation process and precisely delivering the right amount of water, our system eliminates the need for human intervention, rendering the agricultural system more dependable in achieving successful crop yields. Water supply commences when the environmental conditions reach specific thresholds and halts when the requisite climate conditions are met, maintaining an optimal environment for crop growth.
15 pages, A significant emphasis on scaling up food security efforts is needed to achieve Sustainable Development Goal 2 (Zero Hunger) by 2030. Scaling up sustainable intensification efforts for Cambodian smallholder farmers is key since they face greater exposure to the uncertainties of climate change, globalizing markets, and rural-to-urban migration. One way to increase the effectiveness of efforts and the scaling up of sustainable intensification technologies is through improving access to information about production and marketing technologies. This study aimed to identify sources of information about sustainable technologies available to smallholders and barriers that may be preventing adoption. Information was gathered from a household survey to document the sources of agricultural information for smallholders in Northwest Cambodia. This research suggests Cambodian smallholders are receiving agricultural extension services, however, the overall quality and effectiveness of these messages are unknown, since NGOs with competing foci are the primary provider of extension information. Smallholders face significant barriers that prevent the adoption of sustainable technologies and participation in markets, such as low price for goods, poor product quality, lack of time, and concerns for safety. Future endeavors to strengthen the price of goods and alleviate market-related challenges would likely result in increased smallholder income and food availability.
Rozenstein, Offer (author), Cohen, Yafit (author), Alchanatis, Victor (author), Behrendt, Karl (author), Bonfil, David J. (author), Eshel, Gil (author), Harari, Ally (author), Harris, W. Edwin (author), Klapp, Iftach (author), Laor, Yael (author), Linker, Raphael (author), Paz-Kagan, Tarin (author), Peets, Sven (author), Rutter, S. Mark (author), Salzer, Yael (author), and Lowenberg-DeBoer, James (author)
Format:
Journal article
Publication Date:
2023-08-15
Published:
Netherlands: Springer Nature
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 209 Document Number: D13550
12 pages, Sustainability in our food and fiber agriculture systems is inherently knowledge intensive. It is more likely to be achieved by using all the knowledge, technology, and resources available, including data-driven agricultural technology and precision agriculture methods, than by relying entirely on human powers of observation, analysis, and memory following practical experience. Data collected by sensors and digested by artificial intelligence (AI) can help farmers learn about synergies between the domains of natural systems that are key to simultaneously achieve sustainability and food security. In the quest for agricultural sustainability, some high-payoff research areas are suggested to resolve critical legal and technical barriers as well as economic and social constraints. These include: the development of holistic decision-making systems, automated animal intake measurement, low-cost environmental sensors, robot obstacle avoidance, integrating remote sensing with crop and pasture models, extension methods for data-driven agriculture, methods for exploiting naturally occurring Genotype x Environment x Management experiments, innovation in business models for data sharing and data regulation reinforcing trust. Public funding for research is needed in several critical areas identified in this paper to enable sustainable agriculture and innovation.
12 pages, This study evaluated socioeconomic factors influencing the uptake of regenerative agriculture technologies in the dry lands of Embu County. Semi-structured questionnaires were administered to 400 farm households. Multivariate Probit model (MVP) and percentage were used to analyse the data. The findings of the study indicate that several socioeconomic factors including farming experience, farm size, main occupation, off-farm activities, age, gender, marital status and education level influenced the uptake of various regenerative agriculture technologies. Government and other inventors should take these factors into consideration while making decisions and formulating policies to support the dissemination and uptake of agricultural innovations.
10 pages, Sustainable livestock farming practices have the potential to improve productivity and high income, reduce greenhouse gases, and improve household food security. Despite previous efforts to disseminate these technologies, the rate of adoption has remained very low in Ethiopia. In this study, we investigate the determinants of adoption and the impact of improved dairy farming practices (IDFP), which include improved breed, improved feed, and improved feeding conditions, on household food security in the central highland of Ethiopia.
19 pages, The global climate change and rapid population increase are raising challenges for food security, and it demands efficient crop improvement methods that ensure superior quality and quantity of the crops. The advancements in nanotechnology can be explored to enhance sustainable crop improvement. Recently, nanotechnology has made massive revolutions in solving various problems faced by the human population, including the agriculture, environment and food sectors. In agriculture, nanotechnology has implications on every stage of farming, including seed germination, growth, harvest, processing, storage and transport of agricultural products. Nano fertilisers, nano herbicides, nano-fungicides, nano biosensors, nanoscale genetic carriers, nano-bioremediating agents and nanocomposites for packing are the novel applications of nanotechnology in the crop improvement area. Nanotechnology ensures the site-specific delivery of the nutrients in the plant's target region, which minimises the loss and increases efficiency. The reduced size of the nanomaterials offers a broader surface area for pesticides and fertilisers, drastically escalating disease and pest control in crops as they promise to overcome the shortcomings caused by traditional pesticide application. The advancement in nanotechnology is rapidly contributing to the digitalization of agriculture also. For example, nanotechnology widens the horizons of high-tech agricultural farms with the aid of biosensors.
The synthesis of nano enzymes also revolutionized the stress-tolerant mechanism of the plants by acting as an efficient antioxidant enzyme, and it has been widely used against salinity tolerance recently. The contribution of nanotechnology in effective transfer of genetic material in gene editing and genetic engineering techniques has also significantly contributed towards crop improvement. Nanobioremediation and nanophotocatalysis methods can also remove toxic substances from the environment. It is clear that, nanotechnology driven agri-food sector is expected to bloom in the near future. This review article summarizes the potential benefits of nanotechnology in agriculture and related fields, including the environment and food industry. Although nanotechnology has contributed a lot to the betterment of the world in various ways, they also face several limitations. Despite being a frontier of scientific advancement in the modern era, the negative impacts caused by nanotechnology cannot be sidelined. Therefore, this review also discusses the limitations of nanotechnology in the last section.
