A Real Time Precision Monitoring and Detection of Rice Plant Diseases by Using Internet of Things (IoT) Based Robotics Approach
Kandula Kushal Sai1, P Satyanarayana2, Mohammed Ali Hussain3, M Suman4
1Kandula Kushal Sai, Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Tamil Nadu), India.
2P Satyanarayana, Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Tamil Nadu), India.
3Mohammed Ali Hussain, Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Tamil Nadu), India.
4M Suman, Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 403-408 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5423058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Over the past few years, there has been significant interest in designing smart agricultural systems. The use of smart farming techniques can enhance the crop yield, while simultaneously generating more output from the same amount of input. But still, most of the farmers are unaware of the latest technologies and practices. In this paper a novel smart agricultural technology based on Robotics and Internet of Things (IoT) will be designed and implemented for performing various operations on the field. This smart agricultural pest’s robot is equipped with various sensors like both data collecting sensors and data transferring sensors and a camera for identifying different environmental diseases and viruses in specific. As on identifying the infected parts in each plant and diseased area in field, we can spread chemicals, pesticides or fertilizers in a specific effected area and to infected parts of plants, in only required quantity. It also includes Micro-Controller and Wi-Fi hardware for executing the whole process. The main features of this novel intelligent smart agricultural pest’s robot is that it can execute tasks such as detecting predators and weeds, disease detection, virus identification, predator’s detection and scaring birds and animals, sprinkling pesticides & fertilizers, cutting weeds, etc. The entire model is fitted with sensors and a camera to monitor the activities in real time. The proposed model IOT based smart agricultural pest’s robot will work in the rice fields, readings will be monitored and stored in cloud and satisfactory results would be observed in application, this system is very much useful for smart agricultural systems.
Keyword: Internet of Things (IoT), Image Processing, Multispectral, Pest prediction, Zigbee etc.
Scope of the Article: Internet of Things.