EGU24-14243, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-14243
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Makara: Navigating Agricultural Challenges through Digital Innovation

Ramesh Guntha1, Aiswarya Aravindakshan1, Soham Adla2, Maya Presannakumar1, Mario Alberto Ponce Pacheco2, and Saket Pande2
Ramesh Guntha et al.
  • 1Amrita Vishwa Vidyapeetham, Center for Wireless Networks & Applications (WNA), Vallikavu, India (rameshg@am.amrita.edu)
  • 2Dept. of Water Management, Delft University of Technology, Delft, The Netherlands

Modern-day agriculture presents numerous challenges for small rural farmers, including labor issues, fluctuating costs, unpredictable weather, and the complexities of managing fertilizers, pesticides, and market dynamics. These challenges often hinder farmers from making timely decisions that could maximize their revenue and minimize costs.

The Makara app stands out as a groundbreaking tool in agricultural management, providing a digital platform meticulously designed to meet the diverse needs of farming. It enables farmers to create individual accounts and input detailed information about their land, including soil type, soil health parameters, water sources (such as borewells, rivers, or pipelines), and preferred irrigation methods. The app's versatility allows farmers to manage multiple lands and configure various crops for each, supporting both mixed cropping and multi-cropping systems. Additionally, farmers can adjust crop configurations annually and seasonally, offering unparalleled flexibility in digital farming management.

Makara's interface is exceptionally adaptable and capable of digitizing and tracking any farming setup. Beyond just planning, the app excels in financial management, assisting farmers in budgeting and recording expenses. This includes costs for seeds, fertilizers, and various labor activities like irrigation, weeding, land preparation, applying fertilizers and pesticides, harvesting, transportation, and storage. These financial features are detailed at the crop level for each season and year, providing farmers with a comprehensive view of their agricultural expenses and aiding in more informed financial decision-making.

A standout feature of Makara is its day-to-day advisory service, which provides guidance based on best practices, and insights into planting seasons, crop varieties, and growth stages. The app's recommendations on fertilizers and pesticides aim to promote sustainable farming and maximize yields. Additionally, Makara assists in activity planning and journaling, enabling farmers to maintain systematic records of their farming activities. The app emphasizes budgeting, cost and revenue management, and farm resource optimization, positioning itself as an all-encompassing agricultural tool.

The app's risk prediction module offers farmers valuable insights into expected crop yields for upcoming seasons, allowing them to estimate the likelihood of achieving specific yield targets and the corresponding potential income and profits. This feature is complemented by a historical market price database, enabling farmers to make informed decisions based on predicted yields and market trends.

Makara is crafted for user-friendliness and accessibility, featuring a multilingual interface that not only displays content but also provides audio readouts to farmers in their native languages. Mindful of the connectivity issues often encountered in rural settings, the app is equipped with an offline mode. This ensures uninterrupted operation and access to previously stored data, even in the absence of network connectivity, making it a reliable tool for farmers regardless of their location.

This paper introduces the Makara app, detailing its main functionalities, deployment strategies, and the considerations behind its design choices. We also present an analysis of the app's deployment and usage, highlighting its impact on alleviating the cognitive burden faced by farmers in making crucial decisions that significantly affect their costs and revenues.

How to cite: Guntha, R., Aravindakshan, A., Adla, S., Presannakumar, M., Alberto Ponce Pacheco, M., and Pande, S.: Makara: Navigating Agricultural Challenges through Digital Innovation, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14243, https://doi.org/10.5194/egusphere-egu24-14243, 2024.