LiDAR agricultural applications

The research aims at discriminating and extracting individual agricultural crops from terrestrial LiDAR point cloud. The crop biophysical parameters were extracted from individual crops and were compared with field measured values.

Publications:

• • • Reji, J, Nidamanuri, R.R., Anandakumar M Ramiya(2021). Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks, Precision Agriculture (in press) 

    • Reji, J, Nidamanuri, R.R., Anandakumar M Ramiya, Astor, T., Wachendorf, M. and Buerkert, A. (2021). Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning, Computers and Electronics in Agriculture (in press).

Collaborators : Dr Rama Rao N

Student contributors: Reji Vipin