Figure 4 - uploaded by Amy Y-X Wang
Content may be subject to copyright.
Source publication
In order to realize precision agriculture information monitor- ing over long periods of time and over large areas of space, we propose OPAIMS, an open-architecture precision agri- culture information monitoring system. OPAIMS consists of a two-tiered sensor network and an information service platform. The sensor network contains a large amount of e...
Context in source publication
Citations
... The scientists from CSIRO investigated application of sensor networks on farm and discussed the possible transformation of agriculture brought by sensor networks [4]. Meanwhile, to improve Chinese agricultural productivity, in recent years, scientists in China begin exploring applications of sensor networks in agriculture [5], [6]. ...
... So the stair scheduling can be efficiently implemented. More details of collision avoidance and implementation of stair scheduling can be referred to [14]. ...
... The gateway is composed by a sink sensor, a serial converter and a GPRS DTU [14]. The composition of the gateway is shown in Figure 4. ...
... 2) We build the database using mySQL [14]. It maintains the sheets of LNs and gateways to store the historical and the real-time data. ...
We developed L 3 SN, a scalable, longevous, adaptive, and internet accessible wireless sensor network system for agriculture information monitoring, which is meticulously designed to meet the requirement of thousands hectares coverage, years of time monitoring and the adverse environment. The system architecture, the agriculture sensor device, the mesh protocol, and the web-based information processing platform are introduced. We also presented some implementation experience. The mesh protocol (LayerMesh) is highlighted, in which “stair scheduling” and “distributed dynamic load-balancing” are proposed to response the scalability, longevity and adaptivity requirements. We believe the design of L 3 SN is useful to many other large-scale,
Agriculture is fundamental to the economic and social development of populations worldwide since the food of millions of people depends on agriculture. According to the Food and Agriculture Organization (FAO) of the United Nations, in 2017, more than 100 million people were food insecure. In developing countries, where this situation is more pronounced, agriculture is a family activity in which farming processes don’t make use of technology. The use of wireless sensor networks (WSNs) to provide precision agriculture (PA) has demonstrated positive results related to crop yields and resource management, which raises the need to determine the progress of research on the impact of these technologies. This article analyzes different proposals focused on the optimization of agricultural processes, with particular focus on their benefit to small and medium producers and, therefore, to food security. A literature review was conducted with an emphasis on scientific developments in Latin America, a region where family farming is one of the main economic activities. Through this study, it was possible to generate indicators of development and general successes and setbacks as well as to determine the main technical characteristics and most addressed topics in publications on this subject.
Agriculture plays a vital role in India’s economy. 44% of the employment in India is engaged in agriculture and allied activities and it also contributes 17% of the gross value added. As most of the country’s people are in the agricultural sector and out of them only a few are literate about how to protect their cultivation ultimately gives rise to severe problems like a low economy in the sector and starvation for the nation. The job of this research is to help the farmers to save crops from disease. The authors came with the thought of combining a pattern recognition method and an image processing
technique. The system allows a farmer to follow a particular pattern of growing crops so that threats will be analyzed earlier. Combining this with the power of Internet of Things, the authors can automate the process without the need for human resources. This research can ultimately make the agriculture process faster and farmers can cultivate more in a less amount of time.
The paper presents a low-cost solution to the problem of remote control in agricultural applications. This choice is due to the growing importance of agriculture in modern times and so to the need of subsidizing this field. Keeping in mind the constraint of low-cost, we propose the design of a flexible embedded system architecture, based on the Arduino and Raspberry platforms, able to support various kinds of remote control tasks in the agricultural field. The goal is to support management of remote cultivations (in greenhouses and/or open-air) by exploiting sensors (e.g., temperature, moisture, radiometers, cameras) and actuators (e.g., motorized windows, irrigators, tools to deploy chemical products) through a mobile app. This approach could improve fertilization and overall planning of the farming activity based on the actual weather and environment conditions. A simple prototype of the proposed system has been successfully tested and results confirm feasibility of the approach both in terms of performance and of costs.
Resumen Los cultivos de caña de azúcar son una de las principales actividades económicas en Colombia; por ende, son esenciales para el desarrollo agrícola del país. Además, las tecnologías de la información y las co-municaciones (TIC) se han empezado a utilizar e implementar en todo el ciclo de vida del cultivo. Consecuentemente, las TIC son importantes al momento de definir sistemas basados en Agricultura de Precisión (AP), capaces de incrementar el rendimiento del cultivo y optimizar el uso de recursos económicos como fertilizantes, agua y pesticidas, entre otras funciones. Este artículo presenta una revisión acerca de sistemas de información basados en AP y aplicables a cultivos de caña de azúcar, haciendo énfasis en las tecnologías utilizadas, la gestión de datos y sus arquitecturas. Además, se presenta la propuesta de los autores: un sistema de información integral de tres capas basado en AP, capaz de facilitar la optimización en distintas etapas del ciclo de vida de la caña de azúcar. El artículo concluye describiendo el trabajo futuro y el desarrollo de la implementación del sistema propuesto. Palabras clave: agricultura de precisión, caña de azúcar, rendimiento del cultivo, sistema de información, sistema de soporte a decisiones *
The emergence of social networks have opened a new paradigm for professional groups to student groups to exchange their information with their contemporaries quickly and efficiently. The social networking enables to set up relations among the people (called actors) who share common interests, activities or connections. An actor or a person plays a predominant role in sharing social networking services, hence optimal modelling of an actor is essential. An actor model must be defined with several issues concerning to interests, activities, devices used, etc. In this paper, we present a generic actor model for a professional social network (GAMPSON) by considering actor’s personally identifiable information, professional information, activity, social status, etc. The designed GAMPSON is tested over professional social networks such as agriculture social network and museum social network, where GAMPSON generates unique actors associated with the agriculture and museum social network, and renders relations among the actors. Results demonstrated that it is simple and accurate to generate actors and their relations in any social network along with provision of information over database.
Precision Farming (PF) system is an alternative and innovative approach to improve the quality and production of crop yields. However, due to heterogeneity and user demands, PF system complexity has become higher. As such, software complexity has always been an issue in software development, especially for larger systems with innovative functionalities. One solution by which to reduce the problem of software complexity is by incorporating software reuse. Software Product Line (SPL) is a strategic reuse approach, which targets common artefacts for its product line while having a variability management mechanism to cater for variability in individual applications. This research proposes an integrated approach of SPL with architecture style selection and component based design for the precision farming domain. The focus of this paper is to highlight the process of architecture style selection in the proposed approach, which involves a multi-criteria design decision. The selection process uses a fuzzy analytic hierarchy process (fuzzy AHP) in order to select the best architectural style, which can fulfil most of the sought-after criteria for precision farming product line application.
In mobile ad hoc networks (MANETs), nodes are mobile in nature, but at the same time, they are assumed to rely on each other to relay their traffic even in case the wireless transmission medium is out of range. This requirement poses a serious challenge when malicious nodes are present in the MANET and may contribute to the routing operations, either by tampering the data packets or dropping them. This paper addresses this particular type of wormhole attacks, by introducing an enhancement (the so-called E-HSAM) to a recently proposed ad hoc on-demand distance vector-based protocol for preventing against such attacks in MANETs (the so-called highly secured approach against attacks on MANETs (HSAM)). Our contributions are twofold: (i) a simulation study of the HSAM protocol is provided for the first time, and (ii) the Advanced Encryption Standard (AES) is introduced in the route selection phase of E-HSAM (yielding our so-called E-HSAM-AES scheme) to strengthen the integrity of the data while securing the potential routes chosen for data transfer from source to destination nodes. Simulation results are presented, showing the superiority of E-HSAM-AES over E-HSAM and HSAM in terms of packet delivery ratio and broken link detected during data transmission, chosen as performance metrics. Copyright © 2013 John Wiley & Sons, Ltd.
