'' '' '' '' '' '' Development of Mobile App for Estimation of Energy Input and Cost Economics of Selected Farm Operations
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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles                      Volume : 11, Issue:3, March, 2022

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2022.11(3): 188-195
DOI: https://doi.org/10.20546/ijcmas.2022.1103.022


Development of Mobile App for Estimation of Energy Input and Cost Economics of Selected Farm Operations
Gajendra iD 1*, V. M. Victor1 and N. Agrawal2
1Department of Farm Machinery and Power Engineering, 2Department of Soil and Water Conservation Engineering, Indira Gandhi Krishi Vishwavidyalaya, Raipur, India
*Corresponding author
Abstract:

The paper is devoted to the development of an android applications of cost of operation and energy calculation for rice production. It will help to schedule future development by understanding the feasibility of the individual operations and machines involved in those farm operation. Cost of operation contents specify the name of a cost group. “imputed costs” and "variable cost". A function of energy input is the crop yield, it can be applied directly and indirectly. Direct energy is needed to perform different crop-related tasks. The key products for indirect energy help is the energy used in the processing, packaging and transport of fertilizers, crops, machinery and pesticides. The algorithm is a set of words that specify the operation that a variety of rules are intended for the development of an algorithm is a critical step in solving a problem. Algorithm development was carried out in formally and visual able in nature. The algorithm for cost economic and energy inputs in agriculture production is developed to use that as a blueprint for mobile app. The app is an Android-based framework, created using Android Studio, the official Integrated Development Environment (IDE) for the development of Android applications. The aim of work is to create the energy and cost estimation app for farmers that helps analyze energy trends and the cost of various rice cultivation operations. The app named as ECOCAL-farm energy and cost calculator where E stands for energy, CO stands for cost of operation and CAL stands for calculator.


Keywords: Imputed cost, variable cost, direct energy, indirect energy, algorithm, android-based framework
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How to cite this article:

Gajendra, V. M. Victor and Agrawal, N. 2022. Development of Mobile App for Estimation of Energy Input and Cost Economics of Selected Farm Operations.Int.J.Curr.Microbiol.App.Sci. 11(3): 188-195. doi: https://doi.org/10.20546/ijcmas.2022.1103.022
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.