A precision agriculture management system based on Internet of Things and WebGIS

Ye, Jiuyan; Chen, Bin; Li, Qingfeng; Fang, Yu

doi:10.1109/geoinformatics.2013.6626173

Cited by 38 publications

(24 citation statements)

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“…Moreover, cloud platforms (together with big data platforms), enable to store large-scale datasets of heterogeneous information and large unstructured data, using database management systems [9], [37], preprocessing, statistical analysis and visualization of data [34], [39], [50], whereas geographic information systems (GIS) analysis are used in geospatial problems [36], [55].…”

Section: B Quick Literature Overview On Addressed Water Issues In Agmentioning

confidence: 99%

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

2020

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Water plays a crucial role in the agricultural field for food production and raising livestock. Given the current trends in world population growth, the urgent food demand that must be answered by agriculture highly depends on our ability to efficiently exploit the available water resources. Among critical issues, there is water management. Recently, innovative technologies have improved water management and monitoring in agriculture. Internet of Things, Wireless Sensor Networks and Cloud Computing, have been used in diverse contexts in agriculture. By focusing on the water management challenge in general, existing approaches are aiming at optimizing water usage, and improving the quality and quantity of agricultural crops, while minimizing the need for direct human intervention. This is achieved by smoothing the water monitoring process, by applying the right automation level, and allowing farmers getting connected anywhere and anytime to their farms. There are plenty of challenges in agriculture involving water: water pollution monitoring, water reuse, monitoring water pipeline distribution network for irrigation, drinking water for livestock, etc. Several studies have been devoted to these questions in the recent decade. Therefore, this paper presents a survey on recent works dealing with water management and monitoring in agriculture, supported by advanced technologies. It also discusses some open challenges based on which relevant research directions can be drawn in the future, regarding the use of modern smart concepts and tools for water management and monitoring in the agriculture domain. INDEX TERMS Data analytics, internet of things, smart agriculture, water management, water monitoring, wireless sensor networks. II. FOUR CHALLENGES RELATED TO WATER MANAGEMENT IN AGRICULTURE We discuss four important challenges in water use in the agriculture domain (see Fig. 1). Each challenge motivates a significant shift from traditional water management solutions to smarter ones for higher efficiency, via the integration of modern technologies, e.g., WSN and IoT.

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Section: B Quick Literature Overview On Addressed Water Issues In Agmentioning

confidence: 99%

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

2020

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“…It plays a major role in development of agriculture in china. [3] The objective of Intelligent Agricultural Management Information System (AMIS) based on IOT proposal is to apply Agricultural Information Technology [AIT] to every aspect of agriculture and has become the most effective means and tools for enhancing agricultural productivity and for making use of full agricultural resources. It makes the digitization of each process in every aspect of agriculture and unites all the collected data.…”

Section: Literature Surveymentioning

confidence: 99%

E-Agriculture based on AI and IOT

Rajesh¹

2019

IJRASET

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Demand for agriculture goods is consistently growing to keep up with the world's population growth. The relationship between land, population, and field production is a complex one. Since agriculture becomes modernized, its dependence on land as well as on individual labour decreases. In the backdrop of those challenges, farmers are in need to adopt new technologies. E-Agriculture is a one of such concept that is playing a part in the enhancement of processes associated with Agriculture. This new technology can help improve operational planning and accelerate decision making on farms, large and small. Artificial Intelligence and Internet of Things (IOT) is emerging as part of the solutions towards increased agricultural productivity. IOT in an agricultural refers to the use of sensors, cameras, and other devices to show every factor and action involved in farming into data. This particular data is stored on farm management systems that allows for better processing and analysis. Typically the availability with this data and other related data is paving a way to deploy AI in agriculture.

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“…Los trabajos encontrados que pueden clasificarse en esta sección son relativamente pocos, empezando por Ye et al [27], quienes presentan resultados de investigación acerca de la aplicación del Internet de las Cosas (IoT: Internet of Things) y los SIG basados en web (WebGIS) en la agricultura. Proponen un modelo de gestión de AP basado en cuatro plataformas: plataforma de infraestructura de información espacial, plataforma de IoT, plataforma de gestión de agricultura y cliente móvil.…”

Section: Sistemas De Informaciónunclassified

Sistemas de Información enfocados en tecnologías de agricultura de precisión y aplicables a la caña de azúcar, una revisión

Sarasti

Ramírez

2016

Rev. ing. univ. Medellín

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ResumenLos 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 comunicaciones (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.

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A precision agriculture management system based on Internet of Things and WebGIS

Cited by 38 publications

References 1 publication

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

E-Agriculture based on AI and IOT

Sistemas de Información enfocados en tecnologías de agricultura de precisión y aplicables a la caña de azúcar, una revisión

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