Remote sensing based vegetable pea crop acreage estimation of a district of Central India

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Authors: Jyoti Lohare, Reena Nair, Shailesh Kumar Sharma, Deepak Patle, J Himanshu Rao
Cited by: 0
References: 17

Abstract

The worldwide food supply system has been impacted by increasing population pressure and the detrimental effects of climate change, making timely and precise estimations of crop areas necessary for agricultural management and ensuring national food security. In many nations, crop area estimation is based on conventional data gathering methods, such as field visits and reports from the actual field. Their estimates of crop acreage are prone to substantial errors because of a lack of ground observations. Thus, the assessment of crop planting areas during the crop growth period using remote sensing data has become increasingly popular. This study attempts to estimate the crop acreage of Vegetable Peas for the Jabalpur district of Central India (Madhya Pradesh) using Remote sensing and GIS techniques. For the state and district, Vegetable Pea is an important vegetable commodity. This study estimates crop acreage using Sentinel-2 Satellite data of 2016 and 2022. Government data is also used to validate crop area estimates derived from remote sensing and GIS.

Fields of Study & Subjects

Remote Sensing in Agriculture Remote Sensing and Land Use Smart Agriculture and AI

Publication details

Journal / source
International Journal of Advanced Biochemistry Research
Volume
10
Issue
2S
Pages
954–961
Publication date
1 February 2026
Language
EN