scholarly journals Multi-robot Information Gathering for Precision Agriculture: Current State, Scope, and Challenges

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ayan Dutta ◽  
Swapnoneel Roy ◽  
O. Patrick Kreidl ◽  
Ladislau Boloni
Keyword(s):  
Precision Agriculture ◽  
Information Gathering ◽  
Current State ◽  
Multi Robot

Use Cases and Application Purposes of Social Media in Healthcare

2014 ◽  
pp. 60-75
Author(s):  
Kerstin Denecke
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Clinical Information ◽  
Information Gathering ◽  
Healthcare Applications ◽  
Current State ◽  
Mental Diseases ◽  
Social Media Tools ◽  
Use Of Social Media ◽  
Medicine 2.0

This chapter presents the current state and outlines future directions in the possibilities of applying and exploiting social media in supporting healthcare processes. Starting from the abstracts of the Medicine 2.0 conference in 2012, the authors identify categories of application purposes for social media-based healthcare applications. The applications of social media tools and data are categorized into five groups: 1) supporting the treatment process, 2) for information gathering and prevention, 3) for networking and information exchange, 4) for knowledge management, and 5) for research and monitoring. Use of social media for information gathering and disease prevention is most prevalent. Existing applications mainly concentrate on supporting treatment of chronic and mental diseases. Technology is ready for supporting such applications. To go further in that direction, organizational and legal issues need to be addressed, including developing concepts for integrating with clinical information settings, establishing financing models, and ensuring security and trust.

scholarly journals Precision Agriculture Technology: A Literature Review

2020 ◽  
pp. 30-34
Author(s):  
C. A. Danbaki ◽  
N. C. Onyemachi ◽  
D. S. M. Gado ◽  
G. S. Mohammed ◽  
D. Agbenu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Precision Agriculture ◽  
State Of The Art ◽  
Irrigation Management ◽  
Conventional Farming ◽  
Livestock Farming ◽  
Current State ◽  
Art Methods ◽  
Increase In Productivity

This study is a survey on state-of-the-art methods based on artificial intelligence and image processing for precision agriculture on Crop Management, Pest and Disease Management, Soil and Irrigation Management, Livestock Farming and the challenges it presents. Precision agriculture (PA) described as applying current technologies into conventional farming methods. These methods have proved to be highly efficient, sustainable and profitable to the farmer hence boosting the economy. This study is a survey on the current state of the art methods applied to precision agriculture. The application of precision agriculture is expected to yield an increase in productivity which ultimately ends in profit to the farmer, to the society increase sustainability and also improve the economy.

Sampling-based planning for non-myopic multi-robot information gathering

2021 ◽  
Author(s):  
Yiannis Kantaros ◽  
Brent Schlotfeldt ◽  
Nikolay Atanasov ◽  
George J. Pappas
Keyword(s):  
Information Gathering ◽  
Multi Robot

scholarly journals Distributed Multi-Robot Information Gathering under Spatio-Temporal Inter-Robot Constraints

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 484
Author(s):  
Alberto Viseras ◽  
Zhe Xu ◽  
Luis Merino
Keyword(s):  
Decision Making ◽  
Collision Avoidance ◽  
Physical Process ◽  
Wind Field ◽  
Complex Dynamics ◽  
Information Gathering ◽  
Distributed Decision Making ◽  
Novel Approach ◽  
Distributed Decision ◽  
Multi Robot

Information gathering (IG) algorithms aim to intelligently select the mobile robotic sensor actions required to efficiently obtain an accurate reconstruction of a physical process, such as an occupancy map, a wind field, or a magnetic field. Recently, multiple IG algorithms that benefit from multi-robot cooperation have been proposed in the literature. Most of these algorithms employ discretization of the state and action spaces, which makes them computationally intractable for robotic systems with complex dynamics. Moreover, they cannot deal with inter-robot restrictions such as collision avoidance or communication constraints. This paper presents a novel approach for multi-robot information gathering (MR-IG) that tackles the two aforementioned restrictions: (i) discretization of robot’s state space, and (ii) dealing with inter-robot constraints. Here we propose an algorithm that employs: (i) an underlying model of the physical process of interest, (ii) sampling-based planners to plan paths in a continuous domain, and (iii) a distributed decision-making algorithm to enable multi-robot coordination. In particular, we use the max-sum algorithm for distributed decision-making by defining an information-theoretic utility function. This function maximizes IG, while fulfilling inter-robot communication and collision avoidance constraints. We validate our proposed approach in simulations, and in a field experiment where three quadcopters explore a simulated wind field. Results demonstrate the effectiveness and scalability with respect to the number of robots of our approach.

scholarly journals Image analysis aplications in precision agriculture

2018 ◽  
Vol 11 (2) ◽  
pp. 200-210
Author(s):  
Wilson Fernando Moreno ◽  
Héctor Iván Tangarife ◽  
Andrés Escobar Díaz
Keyword(s):  
Image Analysis ◽  
Precision Agriculture ◽  
Unmanned Aircraft ◽  
Aerial Images ◽  
Vegetation Monitoring ◽  
Vegetation Growth ◽  
Current State ◽  
Livestock Sector ◽  
Soil Preparation

Unmanned Aircraft Vehicles (UAVs) are currently used for multiple applications in various fields: forestry, geology, the livestock sector and security. Among the most common applications, it is worth to stand out the image acquisition, irrigation, transport, surveillance and others. The study that one presents treats of the implementations that are realized by means of aerial images acquired with UAVs directed to the farming. Images acquired until recent years had been using satellites, however due to the high costs that are incurred and low accessibility to these technologies, UAVs, have become a tool for greater precision and scope for making decisions in agriculture. Information from databases of international magazines, groups and research centers is taken to determine the current state of implementations in Precision Agriculture (PA). This article describes tasks such as: soil preparation; limits and land areas, vegetation monitoring; classification of vegetation, growth, height, plant health; diseases management, pests and weeds, fertilization and inventory developed from analysis of aerial images acquired with UAVs.

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