Optimizing Agricultural Labor Management In India: A Mobile-Based Approach For Efficient Workforce Allocation

The movement of labor resource has a wide range of impacts on agriculture, including productivity and the organization of labor. Inevitably, overheads such as job search and communication in agricultural labor markets are not well structured and job allocation is rarely done effectively. This problem is most evident in rural areas where farmers are unable to find suitable workers and potential workers do not know where to go to look for the jobs that are appropriate for their skills. To this issue, the application developed attempts to streamline these problems by providing effective management of labor resources and increasing productivity. The application allows the posting of jobs including tasks to be done, deadlines, and payment details as well as searching for jobs by workers that fulfill their skills and added preferences. With the help of geolocation services, the app allows the scheduling of a workforce across several farms to ensure even distribution of labor resources. Improved in-app communication features and secure payment services increased users’ confidence, improved interactions and made it easier to find jobs. In this way, this model offers seasonal workers to the agricultural industry whilst allowing for its sustainable development in the future.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.53555/kuey.v30i2.8429
Primary Topic
Digital Economy and Work Transformation
Type
article
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Optimizing Agricultural Labor Management In India: A Mobile-Based Approach For Efficient Workforce Allocation

Rachit Mody
Digital Economy and Work Transformation
article

Optimizing Agricultural Labor Management In India: A Mobile-Based Approach For Efficient Workforce Allocation

Rachit Mody
article en

Abstract

The movement of labor resource has a wide range of impacts on agriculture, including productivity and the organization of labor. Inevitably, overheads such as job search and communication in agricultural labor markets are not well structured and job allocation is rarely done effectively. This problem is most evident in rural areas where farmers are unable to find suitable workers and potential workers do not know where to go to look for the jobs that are appropriate for their skills. To this issue, the application developed attempts to streamline these problems by providing effective management of labor resources and increasing productivity. The application allows the posting of jobs including tasks to be done, deadlines, and payment details as well as searching for jobs by workers that fulfill their skills and added preferences. With the help of geolocation services, the app allows the scheduling of a workforce across several farms to ensure even distribution of labor resources. Improved in-app communication features and secure payment services increased users’ confidence, improved interactions and made it easier to find jobs. In this way, this model offers seasonal workers to the agricultural industry whilst allowing for its sustainable development in the future.

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Digital Economy and Work Transformation
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