Automation of Agriculture Support Systems using Wisekar: Case study of a crop-disease advisory service

Sarangi, Sanat; Umadikar, Jayalakshmi; Kar, Subrat

doi:10.1016/j.compag.2016.01.009

Cited by 35 publications

(13 citation statements)

References 7 publications

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“…Sarangi et al 86 implemented IoT in advanced call center called Wisekar in India, which helped farmers to understand more about plant disease. Farmers capture image of the affected plant and forward the picture to call center through web interface.…”

Section: Iot‐based Plant Disease Detection Systemmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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Section: Iot‐based Plant Disease Detection Systemmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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“…Implementation of digital farming practices result in a sustainable, efficient, and stable production with a significant increase in yield. Some of the technologies involved in digital farming include the Internet of Thing [180] , big data analysis [181] , smart sensors [182] , GPS and GIS, ICT [183] , wireless sensor networks [184,185] , UAV [186][187][188] , cloud computing [189][190][191] , simulation software [192][193][194][195] , mapping applications [196,197] , virtual farms [198][199][200] , mobile devices [201][202][203][204] , and robotics. A conceptual illustrating of digital farming and its relationship with agricultural robotics is provided in Figure 6, showing that the collected data by the robot agents are sent to a cloud advisory center for decision makings.…”

Section: Agricultural Robotics and Digital Farmingmentioning

confidence: 99%

Research and development in agricultural robotics: A perspective of digital farming

Shamshiri¹,

Weltzien²,

Hameed³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification, task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. The concepts of multi-robots, human-robot collaboration, and environment reconstruction from aerial images and ground-based sensors for the creation of virtual farms were highlighted as some of the gateways of digital farming. It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information. For the case of robotic harvesting, an autonomous framework with several simple axis manipulators can be faster and more efficient than the currently adapted professional expensive manipulators. While robots are becoming the inseparable parts of the modern farms, our conclusion is that it is not realistic to expect an entirely automated farming system in the future.

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“…It builds an artificial river and monitors the water, soil, temperature, and wind at a high spatial resolution. An automated crop disease advisory system framework was designed that integrates the interoperable IoT web repository with an advisory agriculture service center [26]. Monitoring through most demanding sensors like image sensors can capture images of a crop either image processing techniques or plain monitoring system [15].…”

Section: Fig 3 Various Factors Considered For Reviewmentioning

confidence: 99%

“…This is because recharging the batteries to supply energy to the equipment is impractical and usually unable. A framework presented is an automated advisory service to monitor the crop disease runs with a solar cell from where the hardware equipment gets energy replacing the power converters and storage element [26]. A self-power soil water content sensor device used to monitor the soil moisture has been developed is a low-power field surveillance system.…”

Section: Fig 4 Papers Selected Based On Agriculture Domainsmentioning

confidence: 99%

IoT Implementation and Management for Smart Farming

Nagaraju¹,

Chawla²

2019

IJITEE

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Precision agriculture can enable the vision of smart agriculture, improves the crop productivity and increases profitability of yields. Utilization of water is also an important criterion for a good agriculture and high production. The new dimension of smart farming in agriculture is Internet of Things. The IoT is a best solution for smart agriculture due to the use of interoperable, pervasive, scalable and open technologies and gained momentum in the field of agriculture. The advanced growth in IoT technologies even made the dream come true with the connectivity reached to rural areas. The use of highly accurate IoT sensors can measure the environmental context of farms and helps in improving the accuracy of precision agriculture. This paper reviews the various applications of IoT motivated by a purpose to identify various areas with latest trends, architecture frameworks. Selected papers were clustered based on various domain and subdomains corresponding to the usage of sensors, actuators, communication technologies, energy controls, storage solutions, data analysis for decision making and visualization to the farmer through web applications.

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Automation of Agriculture Support Systems using Wisekar: Case study of a crop-disease advisory service

Cited by 35 publications

References 7 publications

Systematic review of Internet of Things in smart farming

Systematic review of Internet of Things in smart farming

Research and development in agricultural robotics: A perspective of digital farming

IoT Implementation and Management for Smart Farming

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