323,935 research outputs found
Systems Requirements for a Small Autonomous Tractor
No full textRosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 6 (2004): B. Blackmore, S. Fountas, L. Tang, and H. Have. Systems Requirements for a Small Autonomous Tractor. (July 2004)
Latest advances in sensor applications in agriculture
No full textSensor applications are impacting the everyday objects that enhance human life quality. In this special issue, the main objective was to address recent advances of sensor applications in agriculture covering a wide range of topics in this field. A total of 14 articles were published in this special issue where nine of them were research articles, two review articles and two technical notes. The main topics were soil and plant sensing, farm management and post-harvest application. Soil-sensing topics include monitoring soil moisture content, drain pipes and topsoil movement during the harrowing process while plant-sensing topics include evaluating spray drift in vineyards, thermography applications for winter wheat and tree health assessment and remote-sensing applications as well. Furthermore, farm management contributions include food systems digitalization and using archived data from plowing operations, and one article in post-harvest application in sunflower seeds
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Decomposition of agricultural tasks into robotic behaviours:S. Blackmore, S. Fountas, S. Vougioukas, L. Tang, C.G. Sørensen, R. Jørgensen
No full textDispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Agricultural data privacy and federated learning: A review of challenges and opportunities
No full textThe rapid digitalization of agriculture has resulted in an unprecedented surge in data collection, necessitating this way the privacy protection in innovative data analytics solutions. Federated Learning emerges as a promising solution since it allows for collaborative model training across decentralized data sources without sharing raw data. This review explores the use of Federated Learning in agriculture, focusing on privacy-preserving methods. We thoroughly reviewed a large corpus of relevant research, examining several Federated Learning types and their application to agricultural scenarios, such as pest and disease detection, crop yield prediction, and resource management. Our findings underscore Federated Learning's potential to revolutionize privacy-preserving data analysis in agriculture by enabling better decision-making through aggregated insights from various farms, while retaining data confidentiality. At the same time, a number of technical complications arise, including data heterogeneity, communication impediments, and limited computational capabilities in rural areas. Data ownership, fairness, and stakeholder trust are significant barriers to widespread use in practice. The present study provides research gaps that need to be addressed to fully use the potential of Federated Learning in agriculture. Tailoring the design of Federated Learning algorithms and adhering to the nature of agricultural data and its peculiarities can promote the enhancement of agriculture-friendly frameworks to ensure privacy-preserving mechanisms for agriculture-oriented applications, and the development of frameworks that bear ethical issues in mind and facilitate farmers-based equitable benefit distribution. Since Federated Learning can potentially change the landscape of data-driven agriculture by allowing collaborative data analytics without compromising privacy, it is highly important to overcome the technological and ethical barriers demonstrated in this study, maximizing its impact on sustainable farming practices and innovations
Precision viticulture in Mediterranean countries: From vegetation vigour and yield maps to spatially and temporally variable vintage
No full textIn Mediterranean countries, due to warmer and drier environmental conditions, viticulture faces problems such as drought, short biological cycle, and frequent infestations by pests. Precision Viticulture (PV), through spatially variable rate application of crop inputs, enhances grape yield and quality, while reducing operational costs and environmental impact. PV has been a reality in Mediterranean countries since the end of the last century. Proximal/remote sensors such as LIght Detection And Ranging (LIDAR), soil electrical conductivity proximal sensors, and remote sensing from Unmanned Aerial Vehicles (UAVs) and/or satellites and/or robots can monitor vegetation vigour, thus delineating vineyard Management Zones (MZs), needing specific crop input amounts. MZs enable us to plan either temporally variable vintage in zones having different ripeness periods for producing uniform quality grapes and, therefore, wine, or spatially variable vintage for producing different quality grapes and, therefore, wines. The economic and environmental benefits of PV should be quantified by refining user-friendly data processing software and developing models to better understand and address the within-vineyard spatial variability of crop and soil parameters. Our aim of this review article was to highlight the ways PV can be implemented in Mediterranean countries to face problems such as drought, short biological cycle, and frequent infestations by pests
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No full textCan archives of audiovisual TV interviews be used to make authors more visible to students, and thereby reduce the learning gap between native and non-native language speakers in college classes? We examined students in a college course who learned about one scholar's ideas through watching an audiovisual TV interview (i.e., visible author format) and about another scholar's ideas through reading a formal text description (i.e., invisible author format). For the invisible author, native language speakers scored significantly higher than the non-native language speakers on a corresponding exam question (i.e., a cognitive measure), generated more words on the exam question (i.e., a motivational measure), and mentioned the author's name more often in answering the exam question (i.e., an affective measure). For the visible author, the groups did not differ on any of these measures. These findings provide evidence for the idea that making the author visible through audiovisual TV interviews can eliminate the learning gap between native and non-native language speakers. 3 Universities around the world serve students who are non-native speakers of th
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