2017Unpublished venueOpen access

STUDY OF CROPPING SYSTEM IN MORIGAON DISTRICT OF ASSAM USING GEOSPATIAL TECHNIQUE

Jonali Goswami, Kishore Sarma, B. K. Handique, Ranjan Das, Rahman, Naseema, N Raju

Open full text 3 citations

Abstract

A proper cropping system is required to enhance crop productivity. Cropping systems like intensity and rotation needs to be planned thoroughly for sustainable development of agricultural land. Remote sensing data can be used to detect accurately the start and end of cropping seasons of annual crops resulting in more realistic spatial patterns of cropping intensity and crop duration.  Study has been carried out to analyze existing cropping system and deriving indices (namely, Multi Cropping Index, Area Diversity Index and Cultivated Land Utility Index) using space technology for proper management of agricultural land to enhance productivity. To extract area under different crop season, a season specific normalized difference vegetation index (NDVI) threshold had been used to identify whether an agricultural pixel is cropped or outcropped within agricultural land in a given season namely kharif, rabi and zaid. The cropping intensity or pattern was found to be single cropped, double cropped and triple crop. Cropping system indices derived for the study area reveals the need of better cropping system planning for intensification with short duration crops. In future, high resolution, high temporal and microwave data can be explored for better crop discrimination.

About this research paper

What this paper is about

A proper cropping system is required to enhance crop productivity. Cropping systems like intensity and rotation needs to be planned thoroughly for sustainable development of agricultural land. Remote sensing data can be used to detect accurately the start and end of cropping seasons of annual crops resulting in more realistic spatial patterns of cropping intensity and crop duration.  Study has been carried out to analyze existing cropping system and deriving indices (namely, Multi Cropping Index, Area Diversity Index and Cultivated Land Utility Index) using space technology for proper management of agricultural land to enhance productivity. To extract area under different crop season, a season specific normalized difference vegetation index (NDVI) threshold had been used to identify whether an agricultural pixel is cropped or outcropped within agricultural land in a given season namely kharif, rabi and zaid. The cropping intensity or pattern was found to be single cropped, double cropped and triple crop. Cropping system indices derived for the study area reveals the need of better cropping system planning for intensification with short duration crops. In future, high resolution, high temporal and microwave data can be explored for better crop discrimination.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A proper cropping system is required to enhance crop productivity. Cropping systems like intensity and rotation needs to be planned thoroughly for sustainable development of agricultural land. Remote sensing data can be used to detect accurately the start and end of cropping seasons of annual crops resulting in more realistic spatial patterns of cropping intensity and crop duration.  Study has been carried out to analyze existing cropping system and deriving indices (namely, Multi Cropping Index, Area Diversity Index and Cultivated Land Utility Index) using space technology for proper management of agricultural land to enhance productivity. To extract area under different crop season, a season specific normalized difference vegetation index (NDVI) threshold had been used to identify whether an agricultural pixel is cropped or outcropped within agricultural land in a given season namely kharif, rabi and zaid. The cropping intensity or pattern was found to be single cropped, double cropped and triple crop. Cropping system indices derived for the study area reveals the need of better cropping system planning for intensification with short duration crops. In future, high resolution, high temporal and microwave data can be explored for better crop discrimination.

Key concepts: Cropping, Kharif crop, Cropping system, Agriculture, Multiple cropping, Geospatial analysis, Environmental science, Crop rotation

Related papers

Back to paper searchBrowse research topicsOriginal source
STUDY OF CROPPING SYSTEM IN MORIGAON DISTRICT OF ASSAM USING GEOSPATIAL TECHNIQUE — Research Paper | ScholarLens