IoT based Smart System to Support Agricultural Parameters: A Case Study

Pathak, Abhijit; Uddin, Mohammad Amaz; Abedin, Md. Jainal; Andersson, Karl; Mustafa, Rashed; Hossain, Mohammad Shahadat

doi:10.1016/j.procs.2019.08.092

Cited by 73 publications

(31 citation statements)

References 19 publications

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“…that were collected by wireless sensors. The system also succeeded in determining the selection of appropriate crops for particular soil [38]. Vincent et al proposed system which help the farmers to assess the agriculture land for cultivation of crops utilizing machine learning algorithm and sensor networks.…”

Section: Fig1 the Missing Links In National Collaboration In Agriculmentioning

confidence: 99%

Systems Science: Digital Transformation andDeveloping Business Model toward Smart Farms’platform

Ibrahim

Elramly

Hassan

2021

International Journal of Circuits, Systems and Signal Processing

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This paper describes efforts by National Authority for Remote Sensing and Space Sciences (NARSS) to help the Egyptian government to manage and monitor the national projects. We successfully developed a geospatial data sharing portal (NARSSGeoPortal) as part of the government need to build national Decision Support System (DSS). We were able to solve the software development issues as well as the satellite imagery sourcing issues, but the main challenge remains around how to collect complete and correct data from the public about their private businesses nationwide. The most challenging is how to engage the public and encourage the business owners who are the main sources of data to provide the government Geoportal with data about their businesses. It is also challenging to engage the scientists and experts from government research centers into the data sharing Geoportal. Furthermore, it is a challenge to integrate the government research centers with the public businesses’ daily operation. The data sharing Geoportal is built for all national projects and government authorities, however, in this paper we focus on the Agriculture authorities and farming businesses where the challenge is how to collect correct and complete data per acre about the seeds, fertilizers, water, pest control and all other farm related data that the satellite imagery does not provide. The goal is to integrate the farms into unified national monitoring, and control system while developing advanced smart farms with the use of Internet of Things (IoT). The proposed collaboration agriculture platform fills the gap between two groups. The first group includes the government authorities, financial institutions, and research centers. The second group includes farmers, supply chain, and agriculture engineers. The platform show how employment can be generated by transforming the national ecosystem. The paper also fills a major gap in industry as well as in academia by providing the first Bluetooth Low Energy computer aided design tool that will facilitate testing, designing, deploying, managing and debugging of real Bluetooth Low Energy networks.

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Section: Fig1 the Missing Links In National Collaboration In Agriculmentioning

confidence: 99%

Systems Science: Digital Transformation andDeveloping Business Model toward Smart Farms’platform

Ibrahim

Elramly

Hassan

2021

International Journal of Circuits, Systems and Signal Processing

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“…By using a pre-coded algorithm, also known as the “ Cuckoo Search Algorithm ” [ 44 ], a framework for automated watering of a piece of farmland was designed. Based on pre-analysis of different kinds of soils, the researchers found that a soil moisture value of 700 meant dry, and would require immediate watering.…”

Section: Related Literaturementioning

confidence: 99%

“…Depending on the measured value, the Arduino was connected to an automated watering system, which could be controlled from the mobile device handled by the farmer. When soil wetting gets to optimal levels, the soil sensor sends a feedback signal to the farmer who then stops the watering [ 44 ].…”

Section: Related Literaturementioning

confidence: 99%

Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions

Adesipo

Fadeyi

Kuča

et al. 2020

Sensors

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Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural–urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by proponents of the smart village concept is how to provide a framework for the development of the term, so that this development is tailored towards sustainability. The current work examines the level of progress of climate smart agriculture, and tries to borrow from its ideals, to develop a framework for smart village development. Given the advances in technology, agricultural development that encompasses reduction of farming losses, optimization of agricultural processes for increased yield, as well as prevention, monitoring, and early detection of plant and animal diseases, has now embraced varieties of smart sensor technologies. The implication is that the studies and results generated around the concept of climate smart agriculture can be adopted in planning of villages, and transforming them into smart villages. Hence, we argue that for effective development of the smart village framework, smart agricultural techniques must be prioritized, viz-a-viz other developmental practicalities.

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“…Some models using SVM include models by Rajagopalan et al [17] and Putjaika et al [18]. A case study for IoT based smart systems to support agriculture was proposed by Pathak et al [19]. This technique uses Cuckoo Search Algorithm for prediction and Arduino for the processing.…”

Section: Related Workmentioning

confidence: 99%

Iot and Weather Based Smart Irrigation Monitoring And Controlling System for Agriculture

Amalraj*,

Sivakumar

2019

IJRTE

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Effective and successful agriculture requires effective water management. Irrigation at appropriate periods and at appropriate levels results in profitable yields. Technology can provide an effective solution for this domain. This work presents an IoT based prediction model that can be to create a smart irrigation system for farming. The proposed architecture is composed of three layers; the data collection layer, machine learning based rainfall prediction layer and the rulebased irrigation requirement identification layer. The data collection layer operates in multiple levels using sensors and APIs, obtaining ground based information and also weather information. The machine learning layer performs rainfall prediction based on past data and the final layer uses defined rules to identify the irrigation needs of crops. The major advantage of this model is that it is not fine tuned to a single crop. The model can be used for any crop and can also be used for multiple crops by the same farmer.

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IoT based Smart System to Support Agricultural Parameters: A Case Study

Cited by 73 publications

References 19 publications

Systems Science: Digital Transformation andDeveloping Business Model toward Smart Farms’platform

Systems Science: Digital Transformation andDeveloping Business Model toward Smart Farms’platform

Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions

Iot and Weather Based Smart Irrigation Monitoring And Controlling System for Agriculture

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