TY  - GEN
N2  - This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.
DO  - 10.1007/978-981-16-5847-1
DO  - doi
AB  - This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.
T1  - Data science in agriculture and natural resource management /
DA  - [2022]
CY  - Singapore :
AU  - Obi Reddy, G. P.,
AU  - Raval, Mehul S.,
AU  - Adinarayana, J.,
AU  - Caudharī, Sañjaya,
VL  - v. 96
CN  - S494.5.D3
PB  - Springer,
PP  - Singapore :
PY  - [2022]
N1  - Includes author index.
ID  - 1442443
KW  - Agriculture
KW  - Natural resources
KW  - Agriculture
KW  - Ressources naturelles
SN  - 9789811658471
SN  - 9811658471
TI  - Data science in agriculture and natural resource management /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5847-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5847-1
ER  -