TY - GEN
T1 - Farmers’ Survey App - An Interactive Open-Source Application for Agricultural Survey
AU - Ghodgaonkar, Aditya
AU - Surana, Bhavya
AU - Kumar, Parteek
AU - Verma, Karun
AU - Kommanaboina, Balakrishna
AU - Shacham-Diamand, Yosi
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Agricultural survey
KW - Cloud data analysis
KW - Mobile application
KW - Precision agriculture
UR - http://www.scopus.com/inward/record.url?scp=85125282748&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-95502-1_32
DO - 10.1007/978-3-030-95502-1_32
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AN - SCOPUS:85125282748
SN - 9783030955014
T3 - Communications in Computer and Information Science
SP - 419
EP - 430
BT - Advanced Computing - 11th International Conference, IACC 2021
A2 - Garg, Deepak
A2 - Jagannathan, Sarangapani
A2 - Gupta, Ankur
A2 - Garg, Lalit
A2 - Gupta, Suneet
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Advanced Computing Conference, IACC 2021
Y2 - 18 December 2021 through 19 December 2021
ER -