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All Journal Jurnal Ilmu Komputer
Ankush Kumar Gaur
Kanpur Institute of Technology
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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KS IOT Based Automation System to Prevent Crop Vandalization by Rain Water in Agricultural Regions Kajal Saini; Hunny Saini; Ankush Kumar Gaur
Jurnal Ilmu Komputer Vol 14 No 2 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i02.p05

Abstract

India’s keystone is Agriculture. Around 70 percent of India’s revenue comes from Agriculture. Conversely the population of India amplifies each and every day which requires efficient and well planned decision making techniques for the production of crops. In this research paper we find the intensification of the structures which prevent destruction of crops due to uneven and heavy rainfall. The goal is achieved by the concept of Embedded System design using IOT technology. This is done automatically without any human interference. Here we first identifies the water level in the agriculture field during rainfall by using water level sensors , if the water level exceeds there limit that will cause spoilage of crop then the device are automatically cover the agriculture field. It also identifies the temperature of the crops by using temperature sensor during the sunny days, if the heat causes spoilage of crops due to intensive sun rays then the device will automatically covers the agriculture field. After covering the agriculture field it will send the alert message using GSM module to the farmer and simultaneously the water of rain is collected through piles that will be reuse later for irrigation. To achieve this we use microcontroller , Solar panels, GSM module, DC motor, sensors, Switched-mode power supply (SMPS), Rechargeable battery
Impact of Machine Learning Applications For Price Prediction Of Onion In India Sayed Mannan Ahmad; Ankush Kumar Gaur; Anil Kumar
Jurnal Ilmu Komputer Vol 14 No 1 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i01.p04

Abstract

Conceptual India is one of the second-biggest maker of onion on the planet. Onion is the most extravagant wellspring of nutrients and cell reinforcements. Furthermore, it contains malignant growth battling mixes, assists with keeping up heart more advantageous and lifts the bone thickness, additionally controls the glucose. Natural just as Climate changes sway on the rural economy of any nation. The creation of onion typically relies upon factors like science, atmosphere, economy, and topography, these elements impact on agriculture. It is been recorded that significant expense chance in the horticulture part constantly bound ranchers to endeavor suicide. The value figures are helpful for homesteads, policymakers, and agribusiness ventures. Utilizing time arrangement information in horticulture, nonstop endeavors are made by the analysts to foresee the costs utilizing different straight and nonlinear anticipating models. These days, Artificial knowledge/Machine learning models are utilized as traditional measurable models in the gauging exercise. Utilizing AI strategies in this way, utilizing authentic cost and information factors. Henceforth this exploration will assume a significant job to anticipate the cost of onion. Just as help to agriculturists to turn out to be financially well and has a more advantageous existence.
Co-Authors Anil Kumar Hunny Saini Kajal Saini Sayed Mannan Ahmad