Abstract

Smallholder farmers are threatened by various vulnerable risks which include hostile weather conditions, rainfall at odd times, disease outbreaks and the market shocks. Crop insurance is the only solution to mitigate these risks. Crop yield records are of great importance to predict the crop yield/area into a region but the developing countries like Pakistan, have limited availability of crop yield records. Crop Reporting Service (CRS) in Punjab province of Pakistan has taken this initiative to save crop related data. We obtained the CRS based datasets of rice crop from (2008-2018) to predict the rice yield/area for the fiscal year 2019. The CRS based datasets were incorporated in collaboration with remotely sensed dataset to obtain more accurate results. The spectral responses of rice crop were taken as input to compute NDVI/RVI values of each year. We applied linear regression to NDVI/RVI and the CRS based yield to generate regression equations for prediction of rice yield for the year 2019 which was computed as 2.09 (ton/ha). The area under rice cultivation was estimated using supervised classification that was 139616 hectors. The net rice production was estimated as 219797 tons. Spectral responses of rice crop canopy proved efficient to determine the net productions.

Highlights

  • About half of the world’s population is using rice as an essential food/crop [1]

  • Smallholder farmers are threatened by various vulnerable risks which include hostile weather conditions, rainfall at odd times, disease outbreaks and the market shocks

  • The spectral responses of rice crop were taken as input to compute Normalized Different Vegetation Index (NDVI)/Ratio Vegetation Index (RVI) values of each year

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Summary

Introduction

About half of the world’s population is using rice as an essential food/crop [1]. The major contribution in rice production is obtained from Asian countries. According to a global survey, about 85% of rice farms are owned by farmer which hold small lands (less than 10 acre) [2]. Such cultivators grow their crops in very challenging conditions to get targeted productions. The crop phenology has put huge pressure on small farmers to grow healthy for obtaining sufficient grains which is enough to cater the weeds of increasing population [6]. Assessment of precise yield, well in time, is of great significance to manage all types of food crisis in a good way [9]

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