scholarly journals Smart autonomous agricultural system for improving yields in greenhouse based on sensor and IoT technology

2020 ◽  
Vol 18 (4) ◽  
pp. 606-613
Author(s):  
Miloš Đorđević ◽  
Vesna Paunović ◽  
Danijel Danković ◽  
Branislav Jovičić

With a special focus on the now widespread Internet of Things (IoT) technology, it offers a convenient solution for smart agriculture. This paper will introduce a smart greenhouse monitoring and control data logger system as part of a smart farm. The system is based on: a group of built-in sensors, a microcontroller with a peripheral interface (PIC) as a core and a server system and a wireless Internet using the Global System of Mobile Telecommunications (GSM) module with General Packet Radio Service (GPRS) as a communication protocol. It is possible to implement a smart agricultural service, in which the realized smart data logger system could be implemented, which enables automatic control of the greenhouse at the farm.

Agronomy ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 127
Author(s):  
Amjad Rehman ◽  
Tanzila Saba ◽  
Muhammad Kashif ◽  
Suliman Mohamed Fati ◽  
Saeed Ali Bahaj ◽  
...  

With the rise of new technologies, such as the Internet of Things, raising the productivity of agricultural and farming activities is critical to improving yields and cost-effectiveness. IoT, in particular, can improve the efficiency of agriculture and farming processes by eliminating human intervention through automation. The fast rise of Internet of Things (IoT)-based tools has changed nearly all life sectors, including business, agriculture, surveillance, etc. These radical developments are upending traditional agricultural practices and presenting new options in the face of various obstacles. IoT aids in collecting data that is useful in the farming sector, such as changes in climatic conditions, soil fertility, amount of water required for crops, irrigation, insect and pest detection, bug location disruption of creatures to the sphere, and horticulture. IoT enables farmers to effectively use technology to monitor their forms remotely round the clock. Several sensors, including distributed WSNs (wireless sensor networks), are utilized for agricultural inspection and control, which is very important due to their exact output and utilization. In addition, cameras are utilized to keep an eye on the field from afar. The goal of this research is to evaluate smart agriculture using IoT approaches in depth. The paper demonstrates IoT applications, benefits, current obstacles, and potential solutions in smart agriculture. This smart agricultural system aims to find existing techniques that may be used to boost crop yield and save time, such as water, pesticides, irrigation, crop, and fertilizer management.


Author(s):  
David C. Joy

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.


2017 ◽  
Vol 11 (1) ◽  
pp. 14-24
Author(s):  
Е. М. Abbasov

The problems of integration of the various wireless technologies, for-consists in the provision of required transmission speed and the transmission of information over a considerable distance at low power sensor nodes transmitters wireless Internet-water network for remote monitoring. Analyzed the integration of wireless LAN standard IEEE 802.11n/g and Bluetooth. Determined Graphic analytical dependence-dence, the defining characteristics of the data rate for wireless IEEE 802.11n / g networks. It analyzes the main shortcomings of BSS associated with ef cient use of batteries; the basic Metody reduce energy consumption for WSN based on the ZigBee technology, based on the planning schemes of awakening and data collection schemes. The possibilities MeshLogic technology solutions for the monitoring and control tasks that are critical to BPE-autonomous work Meni sensors.


Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 936 ◽  
Author(s):  
Radu L. Sumalan ◽  
Nicoleta Stroia ◽  
Daniel Moga ◽  
Vlad Muresan ◽  
Alexandru Lodin ◽  
...  

This paper presents the development of a cost-effective automatic system for greenhouse environment control. The architectural and functional features were analyzed in the context of the realization of a controlled-environment agricultural system through all its stages: installation, deployment of the software, integration, maintenance, crop control strategy setup and daily operation of the grower. The proposed embedded platform provides remote monitoring and control of the greenhouse environment and is implemented as a distributed sensing and control network integrating wired and wireless nodes. All nodes were built with low-cost, low-power microcontrollers. The key issues that were addressed include the energy-efficient control, the robustness of the distributed control network to faults and a low-cost hardware implementation. The translation of the supervisory growth-planning information to the operational (control network) level is achieved through a specific architecture residing on a crop planning module (CPM) and an interfacing block (IB). A suite of software applications with flows and interfaces developed from a grower-centric perspective was designed and implemented on a multi-tier architecture. The operation of the platform was validated through implementation of sensing and control nodes, application of software for configuration and visualization, and deployment in typical greenhouses.


Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4127 ◽  
Author(s):  
Titus Balan ◽  
Catalin Dumitru ◽  
Gabriela Dudnik ◽  
Enrico Alessi ◽  
Suzanne Lesecq ◽  
...  

Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world’s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.


Author(s):  
Jean M. Capanang ◽  
Jobelle P. Panganiban ◽  
Glenn N. Ortiz ◽  
Mark Joseph B. Enojas

<p>Cleanroom parameters such as temperature, relative humidity and particle count are vital in maintaining cleanliness. People and machines working inside the cleanroom are main contributors for the sudden changes of the separameters. Measurements and monitoring of these parameters are therefore necessary to reduce rejects and downtime in the production of micro-electro-mechanical systems (MEMS). This paper presents a method of developmentof an automated data monitoring of MEMS cleanroom parametric requirements. The prototype developed uses DHT11 sensor and Sharp dust sensor for measuring the temperature, humidity and particle count respectively which are displayed in an LCD display. These parameters are recorded through a data logger for analysis and control. Additionally, agraphical user interface was also developed using visual studio for the working personnel and for supervisory monitoring and control. As a result, the possible quality compromise in the production of MEMS is detected when the monitored parameters are beyond the range.</p>


Author(s):  
Helmy Fitriawan ◽  
Kholid Ali Dwi Cahyo ◽  
Sri Purwiyanti ◽  
Syaiful Alam

Oyster mushrooms (Pleurotus Ostreatus), such as white mushroom, chinese  mushroom, and warm mushroom, is one type of edible mushrooms. Oyster mushroom cultivation is usually done at the mushroom house (kumbung) which is mostly made of  bamboo.  Oyster mushrooms can grow optimally by controlling the temperature and humidity in the kumbung. Kumbung environment conditioning is usually done manually by spraying water on the planting medium every 8 hours.  But this is perceived as ineffective and requires high effort. For this reason, we need a technology that can monitor as well as control the environmental conditions inside the kumbung automatically and remotely. This paper describes the design of a system to monitor and control the temperature and humidity in the kumbung for oyster mushroom cultivation based on IoT (Internet of Things). This system is developed consisting of five parts, i.e sensor modules, microcontrollers, data loggers, actuators, and monitoring and control interfaces. The main result of this study is a remote monitoring and control of environmental conditions for oyster mushroom cultivation. The data of monitoring, in the form of temperature and humidity, are saved to the data logger and can be downloaded in the format (.csv). The system works functionally in accordance with the expected specifications, both in terms of sensor readings and actuator controlling.


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