Architecture design approach for IoT-based farm management information systems

Köksal, Ömer; Tekinerdoğan, Bedir

doi:10.1007/s11119-018-09624-8

Cited by 147 publications

(60 citation statements)

References 45 publications

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“…The purpose of FMIS is to reduce production costs, comply with agricultural standards, and maintain high product quality and safety, guiding growers to make the best decisions possible [95]. Farm management software solutions support the automation of data acquisition and processing, monitoring, planning, decision making, documenting, and managing the farm operations [64], and include basic functions for record keeping like crop production rates (harvests and yields), profits and losses, farm tasks scheduling, weather prediction, soil nutrients tracking, and field mapping, up to more complex functionalities for automating field management accounting for farms and agribusinesses (accounting, inventory management, or labor contracts). In many cases, growers do not need to be fluid on data management because the software can build maps or decision-making models with basic information introduced by growers.…”

Section: Data Management Software To Ease the Process Of Decision Makingmentioning

confidence: 99%

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

2020

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The information that crops offer is turned into profitable decisions only when efficiently managed. Current advances in data management are making Smart Farming grow exponentially as data have become the key element in modern agriculture to help producers with critical decision-making. Valuable advantages appear with objective information acquired through sensors with the aim of maximizing productivity and sustainability. This kind of data-based managed farms rely on data that can increase efficiency by avoiding the misuse of resources and the pollution of the environment. Data-driven agriculture, with the help of robotic solutions incorporating artificial intelligent techniques, sets the grounds for the sustainable agriculture of the future. This paper reviews the current status of advanced farm management systems by revisiting each crucial step, from data acquisition in crop fields to variable rate applications, so that growers can make optimized decisions to save money while protecting the environment and transforming how food will be produced to sustainably match the forthcoming population growth.

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Section: Data Management Software To Ease the Process Of Decision Makingmentioning

confidence: 99%

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

2020

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“…The last part of the system will be the Big Data analytics tools which can work on the vast amount of data generated and stored on the cloud servers, to excavate important patters and trends in the data. For example, weather predictions and market analysis can be done using such tools [7] [8].…”

Section: Working Of Agriculture Iotmentioning

confidence: 99%

Challenges of Practical Implementation of Internet of Things in Agriculture

2019

JIEA

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The present study considered the internet of things major work in agriculture grassland. The initiation of Internet brought a new viewpoint to all the businesses. The conventional models were refurbished and enhanced for largescale adoption. Advancements in technology lead to the Internet of things, which is an extension of the network of computers to the network of smart devices.In this study the awareness of Internet of Things (IoT) in the field of agriculture. IoT is a revolutionary technology that represents the future of computing and communications. It provides a complete review of its framework, considerations and implications in implementation. The paper intends to brief the reader about the IoT technology and its operational requirements in agricultural practices.The major need of IOT in agriculture is that the world population is set to touch 9.6 billion by 2050. So, to feed this much population, the farming industry must embrace IoT. Against the challenges such as extreme weather conditions and rising climate change, and environmental impact resulting from intensive farming practices, the demand for more food has to be met.The working of Agriculture IoT is discussed along with some real-world examples. The use of IoT in the fields and orchards will help the farmers reap the benefits of its various technologies.The major scope of our research is IOT in agriculture is highly recommended and is very effective when looking into the long term benefits like good production and automation. When agriculture is integrated with IOT the data collected in the process will be highly efficient in making more progress towards the improvement of this field which can save many from financial troubles.

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“…The integration of UAV-WSN based systems for PA in IoT is a mandatory step to create an advanced FMIS [25].…”

Section: Introductionmentioning

confidence: 99%

Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture

Popescu

Stoican

Stâmâtescu

et al. 2020

Sensors

184

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The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making. In this regard, this paper presents a hierarchical structure based on the collaboration between unmanned aerial vehicles (UAVs) and federated wireless sensor networks (WSNs) for crop monitoring in precision agriculture. The integration of UAVs with intelligent, ground WSNs, and IoT proved to be a robust and efficient solution for data collection, control, analysis, and decisions in such specialized applications. Key advantages lay in online data collection and relaying to a central monitoring point, while effectively managing network load and latency through optimized UAV trajectories and in situ data processing. Two important aspects of the collaboration were considered: designing the UAV trajectories for efficient data collection and implementing effective data processing algorithms (consensus and symbolic aggregate approximation) at the network level for the transmission of the relevant data. The experiments were carried out at a Romanian research institute where different crops and methods are developed. The results demonstrate that the collaborative UAV–WSN–IoT approach increases the performances in both precision agriculture and ecological agriculture.

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Architecture design approach for IoT-based farm management information systems

Cited by 147 publications

References 45 publications

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

Challenges of Practical Implementation of Internet of Things in Agriculture

Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture

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