Internet of Things based Wireless Plant Sensor for Smart Farming

About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing output as well as increasing food security while minimizing resource usage. In this study, we developed a low cost system which will monitor the temperature, humidity, light intensity and soil moisture of crops and send it to an online server for storage and analysis, based on this data the system can control actuators to control the growth parameters. The three tier system architecture consists of sensors and actuators on the lower level followed by an 8-bit AVR microcontroller which is used for data acquisition and processing topped by an ESP8266 Wi-Fi module which communicates with the internet server. The system uses relay to control actuators such as pumps to irrigate the fields; online weather data is used to optimize the irrigation cycles. The prototyped system was subject to several tests, the experimental results express the systems reliability and accuracy which accentuate its feasibility in real-world applications.

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UAV LOW-COST SYSTEM FOR EVALUATING AND MONITORING THE GROWTH PARAMETERS OF CROPS

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-5-405-2018 ◽

2018 ◽

Vol IV-5 ◽

pp. 405-413

Author(s):

M. G. D’Urso ◽

A. Rotondi ◽

M. Gagliardini

Keyword(s):

Growth Parameters ◽

Low Cost ◽

Market Price ◽

Growth Index ◽

Health State ◽

Cost System ◽

Critical Interpretation ◽

Control And Management ◽

New Generation

Abstract. New generation sensors (RGB, thermal, NIR and multispectral cameras) on unmanned aerial vehicles are continuously being developed for precision farming applications. In particular, this paper presents a study and an experimentation linked to the determination of viticulture growth indices by integrating the innovative techniques of digital photogrammetry from UAV platform, GPS satellite technique and traditional measures. Furthermore we demonstrate that the products from the processed raw-data represent good quality support to determine health state of the crop, and provide in addition a quantitative evaluation of the observed data. Through the use of such a technology it is possible to improve productivity between 15% and 17%, reducing the market price of the product and the costs of control and management. In particular, during the monitoring campaign lasting three years from 2015 to 2017, it was possible to observe that vine cultivation increased the growth index by about 12% following the corrections resulting from the critical interpretation of the results.

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An IoT Fast and Low Cost Based Smart Irrigation Intelligent System Using a Fuzzy Energy-Aware Routing Approach

10.21203/rs.3.rs-685815/v1 ◽

2021 ◽

Author(s):

Amin Rezaeipanah

Keyword(s):

Intelligent System ◽

Low Cost ◽

Energy Aware ◽

Cost System ◽

Data Collection Process ◽

Smart Farming ◽

Energy Aware Routing ◽

Intelligent Irrigation ◽

Mobile Computers ◽

The Internet Of Things

Abstract Agriculture plays a major role in the world economy and most people depend on it for their livelihood. This makes water an important resource that must be conserved using the latest available technologies. Today, the Internet of Things (IoT) has extended its capabilities to smart farming. In this paper, an automated and low-cost system for intelligent irrigation based on a Fuzzy-based energy-aware routing approach is presented. In addition, a neural network is trained to determine the best irrigation program, based on information received from sensors (such as temperature, soil moisture, etc.). The user in the system can monitor the data collection process with mobile phones, mobile computers, etc. and manage the irrigation of agricultural products. The proposed system proves its suitability with intelligence and low cost and portability, for greenhouses, farms, etc. The simulation results show that the proposed method offers better results compared to the LEACH protocol as well as the WSN-IoT algorithm in various criteria such as network lifetime and power consumption.

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