A. Guruji And P. Agnihotri, "Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)," 1st International Conference on Intelligent Computing and Optimization (ICO) , vol.866, Pattaya, Thailand, pp.448-454, 2018
Guruji, A. And Agnihotri, P. 2018. Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS). 1st International Conference on Intelligent Computing and Optimization (ICO) , (Pattaya, Thailand), 448-454.
Guruji, A., & Agnihotri, P., (2018). Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS) . 1st International Conference on Intelligent Computing and Optimization (ICO) (pp.448-454). Pattaya, Thailand
Guruji, Ashish, And Prasit Agnihotri. "Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)," 1st International Conference on Intelligent Computing and Optimization (ICO), Pattaya, Thailand, 2018
Guruji, Ashish And Agnihotri, Prasit. "Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)." 1st International Conference on Intelligent Computing and Optimization (ICO) , Pattaya, Thailand, pp.448-454, 2018
Guruji, A. And Agnihotri, P. (2018) . "Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)." 1st International Conference on Intelligent Computing and Optimization (ICO) , Pattaya, Thailand, pp.448-454.
@conferencepaper{conferencepaper, author={Ashish Guruji And author={Prasit Agnihotri}, title={Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)}, congress name={1st International Conference on Intelligent Computing and Optimization (ICO)}, city={Pattaya}, country={Thailand}, year={2018}, pages={448-454} }