scholarly journals Implementation of IOT Enabled Smart Farming System

2019 ◽  
Vol 8 (12S2) ◽  
pp. 333-336
Keyword(s):  
Sensor Networks ◽  
Farming System ◽  
Front Line ◽  
Human Species ◽  
Smart Farming

Agribusiness assumes essential method in the improvement of agrarian network. Improvement of a country is not pretty much growing tallest systems and quickest prepares, however similarly giving sound nourishment that is essential least necessity for each man or woman and empowering the ranchers. So it is want to apply the improvement in innovation in farming too. Farming is considered as the idea of lifestyles for the human species as it's miles the enormous wellspring of nourishment grains and other crude materials. The sizeable problems diagnosed with agribusiness have been generally thwarting the improvement of the kingdom. The main solution for recognize the ones troubles is savvy horticulture, with the useful resource of utilising the front line innovation and adjusting the current common strategies for farming. The net of things is every other reality this is sincerely converting our regular every day lifestyles, and vows to upset modern-day farming. Consequently the paper points via shaping an agribusiness using clever wi-fi Sensor Networks and IoT. On this proposed work a promising usage of wi-fi Sensor Networks (WSN) and IoT is applied for accuracy horticulture

scholarly journals Smart Farming enabled by IoT and Spectral Imaging

2022 ◽  
Vol 2161 (1) ◽  
pp. 012044
Author(s):  
Pratik Mohanty ◽  
Vivek Valagadri ◽  
S Ramya
Keyword(s):  
Sensor Networks ◽  
Multispectral Imaging ◽  
Spectral Imaging ◽  
Farming System ◽  
Mobile App ◽  
Sensor Nodes ◽  
Advanced Technology ◽  
Smart Farming ◽  
Multiple Sensor ◽  
Crop Health

Abstract Smart Farming System is an emerging concept which utilizes sensors in the field enabled through IoT to get live data from the farm. This paper aims at developing such a Smart Farming system using the highly advanced technology of Texas instruments microcontrollers, MSP430 and TIVA C Series TM4C1294. Along with IoT the system uses Multispectral Imaging in conjunction with Wireless Soil Embedded Sensor Networks. The goal of the system is to provide reliable live data which is obtained from the multiple sensor nodes placed throughout the farm, that use the sink nodes to transfer the data to the cloud. The farmer can access this data using the Blynk Mobile app and can thus take further calculated actions towards maintaining the farm and further monitor the soil/crop health to increase the ultimate yield from his farm.

A Cost-effective Smart Farming System with Knowledge Base

2017 ◽  
Author(s):  
Quang Tran Minh ◽  
Trong Nhan Phan ◽  
Akihiko Takahashi ◽  
Tam Thai Thanh ◽  
Son Nguyen Duy ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Cost Effective ◽  
Farming System ◽  
Smart Farming

Smart Farming System Using SMS

2017 ◽  
Vol 8 (4) ◽  
pp. 1284
Author(s):  
Tejomurthula Manoj ◽  
K. Manjunath Reddy ◽  
M. Sujatha
Keyword(s):  
Farming System ◽  
Smart Farming

scholarly journals Utilization of LED Grow Lights for Optical Wireless Communication-Based RF-Free Smart-Farming System

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6833
Author(s):  
Sana Javed ◽  
Louey Issaoui ◽  
Seonghyeon Cho ◽  
Hyunchae Chun
Keyword(s):  
Radio Frequency ◽  
Communication Networks ◽  
Green Light ◽  
Farming Systems ◽  
Farming System ◽  
Health Condition ◽  
Visible Light Communications ◽  
Light Emitting ◽  
Data Rates ◽  
Smart Farming

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).

scholarly journals Integrated Smart Farming Based on Internet of Things (Iot) System for Figs Cultivation

2019 ◽  
Vol 9 (2) ◽  
pp. 1429-1436
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Market Price ◽  
Farming System ◽  
Raspberry Pi ◽  
Entire System ◽  
Technology Deployment ◽  
Sensing Technology ◽  
Smart Farming ◽  
Value Changes

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.

scholarly journals Smart Fish Feeder Using Solar Energy

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Mohammad Danial Shahiran ◽  
◽  
Suriana Salimin ◽  
Keyword(s):  
Solar Energy ◽  
Low Cost ◽  
Current Trend ◽  
Farming System ◽  
Proof Of Concept ◽  
Essential Information ◽  
Smart Farming ◽  
Crucial Information ◽  
Farming Industry ◽  
Energy Autonomy

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.

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