TY - GEN
T1 - Low-cost aerial imaging for small holder farmers
AU - Adityajain,
AU - Kapetanovic, Zerina
AU - Kumar, Akshit
AU - Swamy, Vasuki Narasimha
AU - Patii, Rohit
AU - Vasisht, Deepak
AU - Sharma, Rahul
AU - Swaminathan, Manohar
AU - Chandra, Ranveer
AU - Badam, Anirudh
AU - Ranade, Gireeja
AU - Sinha, Sudipta
AU - Akshay Uttama Nambi, S. N.
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to the Association for Computing Machinery.
PY - 2019/7/3
Y1 - 2019/7/3
N2 - Recent work in networked systems has shown that using aerial imagery for farm monitoring can enable precision agriculture by lowering the cost and reducing the overhead of large scale sensor deployment. However, acquiring aerial imagery requires a drone, which has high capital and operational costs, often beyond the reach of farmers in the developing world. In this paper, we present TYE (Tethered eYE), an inexpensive platform for aerial imagery. It consists of a tethered helium balloon with a custom mount that can hold a smartphone (or a camera) with a battery pack. The balloon can be carried using a tether by a person or a vehicle. We incorporate various techniques to increase the operational time of the system, and to provide actionable insights even with unstable imagery. We develop path-planning algorithms and use that to develop an interactive mobile phone application that provides the user instant feedback to guide users to efficiently traverse large areas of land. We use computer vision algorithms to stitch orthomosaics by effectively countering wind-induced motion of the camera. We have used TYE for aerial imaging of agricultural land for over a year, and envision it as a low-cost aerial imaging platform for similar applications.
AB - Recent work in networked systems has shown that using aerial imagery for farm monitoring can enable precision agriculture by lowering the cost and reducing the overhead of large scale sensor deployment. However, acquiring aerial imagery requires a drone, which has high capital and operational costs, often beyond the reach of farmers in the developing world. In this paper, we present TYE (Tethered eYE), an inexpensive platform for aerial imagery. It consists of a tethered helium balloon with a custom mount that can hold a smartphone (or a camera) with a battery pack. The balloon can be carried using a tether by a person or a vehicle. We incorporate various techniques to increase the operational time of the system, and to provide actionable insights even with unstable imagery. We develop path-planning algorithms and use that to develop an interactive mobile phone application that provides the user instant feedback to guide users to efficiently traverse large areas of land. We use computer vision algorithms to stitch orthomosaics by effectively countering wind-induced motion of the camera. We have used TYE for aerial imaging of agricultural land for over a year, and envision it as a low-cost aerial imaging platform for similar applications.
KW - Aerial Imagery
KW - Innovative Mobile Sensing
KW - Mobile Systems for Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85071236106&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071236106&partnerID=8YFLogxK
U2 - 10.1145/3314344.3332485
DO - 10.1145/3314344.3332485
M3 - Conference contribution
AN - SCOPUS:85071236106
T3 - COMPASS 2019 - Proceedings of the 2019 Conference on Computing and Sustainable Societies
SP - 41
EP - 51
BT - COMPASS 2019 - Proceedings of the 2019 Conference on Computing and Sustainable Societies
PB - Association for Computing Machinery
T2 - 2019 ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2019
Y2 - 3 July 2019 through 5 July 2019
ER -