Proceedings ArticleDOI
Smart Monitoring and Management System for Efficient Cultivation
Lalitha Vanathi K,Jayageetha J,Narmatha S,Kiran M,Praveen Kumar J +4 more
- pp 421-425
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TLDR
This IoT uses sensors like soil moisture, Humidity, temperature, Light sensor, Motion sensors, pH meter in the farming field and provides automation in irrigation system, Lighting system, Animal alert system and also finds the pH level of the soil.Abstract:
Iot has a main role in the raising technology. It's application is almost used in every fields. It has been found that upto 9.4 billion individuals will start to use IoT in their agricultural farms. When the agriculture is done with the help of IoT, farmers will earn more profit than the normal farming methods. This IoT uses sensors like soil moisture, Humidity, temperature, Light sensor, Motion sensors, pH meter in the farming field. This provides automation in irrigation system, Lighting system, Animal alert system and also finds the pH level of the soil. These operations are done by using the solar energy. These data are sent to the microcontroller called PIC. Based on the respective threshold level each system will operate automatically. In this way the farms can be monitored in the user friendly way. This is achieved by accessing MQTT(Message Queuing Telemetry Transport). This is an application that can be viewed in mobile. In this automation system Relay is used to make the system ‘ON’ and ‘OFF’. If the moisture content becomes less the irrigation system gets accessed. The artificial lighting system is automated by using Incandescent or Fluorescent light, when there is minimal light source is available for the plants. In addition to this the motion sensor is used to sense the movement of animals which makes the alarm sound along with glow of light. The camera in the field will capture the animal. These updates and notifications are sent to the farmer's mobile, so that they can monitor it at any time. This is a conventional way of farming method that provides higher yield and efficiency.read more
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Journal ArticleDOI
Real-Time Implementation of an Automated Irrigation System for Effective Water Application to Improve Productivities of the Crop in India
Pravin Sonwane,Pratik Ghutke +1 more
TL;DR: A practical robotized framework for savvy activity and observing water system framework controlled from the remote water system control station is presented and yields good outcomes as far as water and vitality use proficiency.
Proceedings Article
Smart Irrigation System using Internet of Things
TL;DR: In this article , the authors proposed a smart irrigation system which works on IoT based platform, which focuses on capturing and data transfer over a wireless network without any human intervention applicable for any crop land.
References
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Proceedings ArticleDOI
IOT Based Monitoring System in Smart Agriculture
TL;DR: Monitoring temperature and humidity in agricultural field through sensors using CC3200 single chip to improve the yield of the efficient crops and making use of evolving technology i.e. IoT and smart agriculture using automation.
Journal ArticleDOI
Smart Agriculture Based on Cloud Computing and IOT
TL;DR: A perfect combination of cloud computing and internet of things can promote fast development of agricultural modernization, realize smart agriculture and effectively solve the issues concerning agriculture, countryside and farmers.
Proceedings ArticleDOI
IoT based smart crop-field monitoring and automation irrigation system
R. Nageswara Rao,B. Sridhar +1 more
TL;DR: A Raspberry Pi based automatic irrigation IOT system is proposed to modernization and improves productivity of the crop by implementing of Precision Agriculture (PA) with cloud computing, that will optimize the usage of water fertilizers while maximizing the yield of the crops.
Proceedings ArticleDOI
Providing Smart Agricultural solutions to farmers for better yielding using IoT
TL;DR: An approach combining the advantages of the major characteristics of emerging technologies such as Internet of Things and Web Services in order to construct an efficient approach to handle the enormous data involved in agrarian output is proposed.