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Geospatial technologies for agricult...

Raju, K. V.

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Geospatial technologies for agriculture = case studies from India /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geospatial technologies for agriculture/ by K. V. Raju, V. R. Hegde, Satish A. Hegde.
其他題名:	case studies from India /
作者:	Raju, K. V.
其他作者:	Hegde, V. R.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xviii, 152 p. :ill., digital ;24 cm.
內容註:	Chapter1: Introduction -- Chapter2: Crop Area Statistics -- Chapter3: Procedure adopted in different States -- Chapter4: Theme of the Crop Inventory Experiment -- Chapter5: Development of a spatial reference (system) database -- Chapter6: Results of field inventory -- Chapter7: Reasons for non-cultivation -- Chapter8: Land Use -- Chapter9: Repetition in second year -- Chapter10: Kitchen Garden in Jarasingha -- Chapter11: Comparison of Area Statistics: Existing Practice v/s Geospatial Technology -- Chapter12: Conclusions and Recommendations -- Chapter13: SWOT analysis of Geospatial Technology -- Chapter14: Geospatial Technology Intervention-A best method for crop inventory -- Chapter15: Executive Summary.
Contained By:	Springer eBooks
標題:	Agriculture - Geographic information systems - India. -
電子資源:	https://doi.org/10.1007/978-3-319-96646-5
ISBN:	9783319966465

Geospatial technologies for agriculture = case studies from India /
Raju, K. V.

Geospatial technologies for agriculturecase studies from India /[electronic resource] :by K. V. Raju, V. R. Hegde, Satish A. Hegde. - Cham :Springer International Publishing :2019. - xviii, 152 p. :ill., digital ;24 cm. - SpringerBriefs in environmental science,2191-5547. - SpringerBriefs in environmental science..

Chapter1: Introduction -- Chapter2: Crop Area Statistics -- Chapter3: Procedure adopted in different States -- Chapter4: Theme of the Crop Inventory Experiment -- Chapter5: Development of a spatial reference (system) database -- Chapter6: Results of field inventory -- Chapter7: Reasons for non-cultivation -- Chapter8: Land Use -- Chapter9: Repetition in second year -- Chapter10: Kitchen Garden in Jarasingha -- Chapter11: Comparison of Area Statistics: Existing Practice v/s Geospatial Technology -- Chapter12: Conclusions and Recommendations -- Chapter13: SWOT analysis of Geospatial Technology -- Chapter14: Geospatial Technology Intervention-A best method for crop inventory -- Chapter15: Executive Summary.

This book uniquely presents accurate and up-to-date information related to crops in small and fragmented agricultural lands with mixed cropping patterns. The book involves research using remote sensing (RS), Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to develop crop inventories in three growing seasons in three villages across India to inform decision makers and planners on best practices for agricultural management. The data analysis of crop details using various geospatial technologies fills in gaps in statistical agriculture research, and provides reliable, replicable and efficient methods for generating agricultural statistics. The book will be of interest to statisticians, planners and decision makers in crop management and production.

ISBN: 9783319966465

Standard No.: 10.1007/978-3-319-96646-5doiSubjects--Topical Terms:

3380693
Agriculture
--Geographic information systems--India.

LC Class. No.: S494.5.D3 / R358 2019

Dewey Class. No.: 630.2085

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520 $a This book uniquely presents accurate and up-to-date information related to crops in small and fragmented agricultural lands with mixed cropping patterns. The book involves research using remote sensing (RS), Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to develop crop inventories in three growing seasons in three villages across India to inform decision makers and planners on best practices for agricultural management. The data analysis of crop details using various geospatial technologies fills in gaps in statistical agriculture research, and provides reliable, replicable and efficient methods for generating agricultural statistics. The book will be of interest to statisticians, planners and decision makers in crop management and production.
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