Security Smart Farming System – AgriPro

Author(s):  
Janani Tharmaseelan ◽  
S. V. Aaran ◽  
D. Ravipprasath ◽  
P. Jayapragash
Keyword(s):  
Author(s):  
Quang Tran Minh ◽  
Trong Nhan Phan ◽  
Akihiko Takahashi ◽  
Tam Thai Thanh ◽  
Son Nguyen Duy ◽  
...  

Author(s):  
Tejomurthula Manoj ◽  
K. Manjunath Reddy ◽  
M. Sujatha
Keyword(s):  

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6833
Author(s):  
Sana Javed ◽  
Louey Issaoui ◽  
Seonghyeon Cho ◽  
Hyunchae Chun

Indoor smart-farming based on artificial grow lights has gained attention in the past few years. In modern agricultural technology, the growth status is generally monitored and controlled by radio-frequency communication networks. However, it is reported that the radio frequency (RF) could negatively impact the growth rate and the health condition of the vegetables. This work proposes an energy-efficient solution replacing or augmenting the current RF system by utilizing light-emitting diodes (LEDs) as the grow lights and adopting visible light communications and optical camera communication for the smart-farming systems. In particular, in the proposed system, communication data is modulated via a 24% additional green grow LED light that is also known to be beneficial for the growth of the vegetables. Optical cameras capture the modulated green light reflected from the vegetables for the uplink connection. A combination of white ceiling LEDs and photodetectors provides the downlink, enabling an RF-free communication network as a whole. In the proposed architecture, the smart-farming units are modularized, leading to flexible mobility. Following theoretical analysis and simulations, a proof-of-concept demonstration presents the feasibility of the proposed architecture by successfully demonstrating the maximum data rates of 840 b/s (uplink) and 20 Mb/s (downlink).


Fig plants are gaining popularity among farmers across Malaysia, mainly influenced by the high demands for fresh fig fruits and a fairly higher market price for the fruit. Current practices in farm fields are still based on observation and scheduling approach without any quantitative approaches which provide a precise way of determining the crucial elements such as irrigation and fertilization needs. This paper explains the design and development of smart farming system with sensing technology deployment for precision agriculture and the Internet of Things (IoT) approach to get farmers connected to their farm. Raspberry Pi 3 Model B acts as a brain of the entire system, delivering its functionality in performing monitoring and controlling tasks. Database is implemented by using ThingSpeak IoT cloud platform while for mobile application, this project is using Swift 4 programming language within Xcode IDE in implementing the iOS user interface features. The evaluation and validation result shows the microcontrollers and all embedded sensors associated to them are successfully executing their tasks in performing the surrounding humidity, irrigation and fertilization control duties. The developed system also capable in tracing the surrounding temperature and humidity, soil humidity and pH, and fertilizer EC value changes. Assistance in mobile device application implementation and ThingSpeak cloud database deployment in this project also get the farmers connected to their farm. Although this project has been completed successfully, however there are several areas which can be further improved in order to make the entire system more efficient and useful to the user.


Author(s):  
Mohammad Danial Shahiran ◽  
◽  
Suriana Salimin ◽  

Smart fish feeder is an emerging concept of the current trend which use Internet of Things (IoT) technology to operate, monitoring and provides crucial information and status to the whole farming system. This project aims to provide such essential proof of concept that utilized IoT technology combine with the solar energy to power up servo motor and temperature sensor that connect from NodeMCU for the agriculture system. The main objectives of this project are specifically focused on the development of a smart fish feeder by using the solar system with charging capability and controlled by the IoT system. Such a fish feeder system was powered up by 12V battery using 10W solar panel controlled by a solar charger controller. The solar energy was stored in 12 V rechargeable battery. IoT-controlled sensors were also attached to the fish feeder system for providing essential information on temperature and fish feeder timer via the Blynk platform. The results of the developed system successfully proved the concept is workable and could be extended to a larger scale of the farming industry. Owing to its energy autonomy and low cost, the system has the potential to be useful in smart farming technology.


2021 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Aristotelis C. Tagarakis ◽  
Christos Dordas ◽  
Maria Lampridi ◽  
Dimitrios Kateris ◽  
Dionysis Bochtis

Agricultural activities such as fertilization and other crop management techniques contribute to greenhouse gas emissions and pollution; the cost of such activities is considerably high, with nitrogen pollution costing the EU up to 320 billion euros annually. In the present study, an integrated system has been proposed which utilizes smart farming tools and smart processing methodologies following the concept of a circular economy to reduce the impact of agricultural activity on climate change. Circular agriculture and precision farming together with the use of appropriate crop management tools may contribute to better resource use efficiency and sustainable agriculture.


2021 ◽  
pp. 215-232
Author(s):  
Neha Patil ◽  
Vaishali D. Khairnar
Keyword(s):  

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