Online ISSN: 2515-8260

Author : Babu, S.Jagadeesh


Ergonomic heavy-lift pesticide dispeller drone instilled with an intelligent atomizer to achieve optimal spray and improved pest control

S.Jagadeesh Babu; M. Shyam; A. Sivakumar; R. SathyaVignesh; J. Yogapriya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1308-1313

The traditional method of farming can be replaced by bringing the UAV technology into play. The main idea of this paper is to project a new idea to control the pest rate with the help of Unmanned Aerial Vehicle (UAV). The drone carries a multispectral high-resolution camera which captures the image which serves as the base data for the learning. The existing data sets are used to train the models. Then patterns are analysed to identify the disease in the captured images. Using this strategy, we can get the possible results in which the healthy crop can be differentiated from the infected ones. The drone will be designed to have different compartments to store a variety of pesticides based upon need. A particular compartment selection and the quantity of a pesticide to be applied will be programmed and controlled effectively using micro-controller. If an infected crop or crop area is detected the processor not only triggers the sprayer present in the drone to spray the pesticides only to the affected area but also, controls the amount of pesticide to be sprayed. This in turn saves lot of time and improves the economic and health condition of farmers.

AN ARTIFICIAL INTELLIGENCE BASED ADVANCED SHRIMP FARMING

S.Jagadeesh Babu; M. Shyam; A. Sivakumar; R. SathyaVignesh; J. Yogapriya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2383-2390

In modern years, the development of technology has been rapidly improving and applying in aquaculture, also known as aqua-farming. A versatile, advanced shrimp farming based on Raspberry pi. A pH sensor, temperature sensor, water level sensor, turbidity sensor are used here to monitor the sudden abnormal change in the condition of the shrimp pond. Besides that, Raspberry pi is used as a server to control all the sensor nodes in this system. The system also sends an alert message through SMS service to prompt the user when needed or to monitor the system on the mobile phone. Thus, time consumption, man power, efforts of the farmer can be reduced. The proposed design has been successfully planned with a dependable, fast response and easy to use with a friendly environment. It is appropriate for small to mid-sized farming operations as it does not require any remodeling of the water front. In this work, a wireless sensor platform is developed, applied to the measurement of temperature, pH and water level in the environment shrimp ponds. The control platform consists of Raspberry pi to control all the system. Then the artificial intelligence system is developed to achieve data from sensor network anywhere via web application as well as Android application. The system is monitored in real-time and can be controlled manually or automatically.