Farmers’ Survey App - An Interactive Open-Source Application for Agricultural Survey

Aditya Ghodgaonkar*, Bhavya Surana, Parteek Kumar, Karun Verma, Balakrishna Kommanaboina, Yosi Shacham-Diamand

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Agricultural sector has become an indispensable part of the Indian economy. In the past few years, traditional methods of agriculture have fraternized with technological solutions. This marked the beginning of precision agriculture. In perpetuation of these efforts, this study introduces a survey application that gives a new definition to surveys and other manual methods of data collection. Data collected through Drones and IoT sensors are often the most reliable and preferred choice while working with agriculture data, but these methods often ignore the knowledge and experience of a farmer. Field surveys ensure that the minute details and knowledge of farmers are captured properly. This study introduces a mobile-based application - “Survey App” to conduct field surveys in remote locations and further outlines a model through which the collected data could be analyzed. The presented research paper lays down the underlying architecture of the application and the implementation details. This application intends to provide a free open-source framework to conduct agriculture surveys. Additionally, to back the theoretical framework of this paper, a real-time case study has been presented to showcase the advantages of field surveys and mobile applications in such scenarios. The data analysis model presented in this study is further implemented in the Digital Village Project at TIET-TAU Center of Excellence for Food Security.

Original languageEnglish
Title of host publicationAdvanced Computing - 11th International Conference, IACC 2021
EditorsDeepak Garg, Sarangapani Jagannathan, Ankur Gupta, Lalit Garg, Suneet Gupta
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030955014
StatePublished - 2022
Event11th International Advanced Computing Conference, IACC 2021 - Msida, Malta
Duration: 18 Dec 202119 Dec 2021

Publication series

NameCommunications in Computer and Information Science
Volume1528 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference11th International Advanced Computing Conference, IACC 2021


  • Agricultural survey
  • Cloud data analysis
  • Mobile application
  • Precision agriculture


Dive into the research topics of 'Farmers’ Survey App - An Interactive Open-Source Application for Agricultural Survey'. Together they form a unique fingerprint.

Cite this