Performance of Potato Varieties for Growth, Yield and Yield Attributing in South Eastern Rajasthan

Nagar, Bhuvnesh; Yadav, D. L.; Ram, Baldev; Narolia, R.S.

doi:10.18006/2019.7(5).438.441

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Potato (Solanum tuberosum L.), also known as "The king of vegetables", is the third most consumed crop after rice and wheat (Nagar et al 2019). Indian ranks second in potato 5 production in the world.…”

Section: Introductionmentioning

confidence: 99%

Satellite-based assessment of hailstorm-affected potato crop for insurance purpose

et al. 2022

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Assessing the extent of hailstorm affected crop is one of the thrust areas for quantifying mid-season adversaries under crop insurance values chain. This study evaluated the preand post-hailstorm responses on spectral bands and vegetation indices derived from Sentinel-2 data for assessing the severity class of the affected potato crop. The potato crop was mapped using pre-event satellite data with overall accuracy of 88% (k=0.82).Pair-wise Games-Howell t-test showed significant differences among the post-hailstorm potato severity classes in Red, Near Infrared & Short-wave Infra-red (SWIR) bands and Normalized vegetation indices. Percentage change (from pre-to post-event) in band reflectance and vegetation indices showed a better sensitivity in differentiating damage severity. Differential behaviour of SWIR-1 (Band-11) and SWIR-2 (Band-12) were observed within severely affected potato crop under dry and wet soil conditions. Decision matrix based on percentage change in Normalized difference Vegetation Index (DNDVI)and Normalized difference Tillage Index (DNDVI) could able to capture the damage severity classes with an overall accuracy of 86.7%. Higher proportion of affected area were found to be associated with larger percentage of Potato yield reduction based on measured yield data at Insurance unit level. The proposed methodology could be adopted for operational assessment of the impact of hailstorm events on crops.

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Section: Introductionmentioning

confidence: 99%

Satellite-based assessment of hailstorm-affected potato crop for insurance purpose

et al. 2022

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Transformative crop insurance solution with big earth data: Implementation for potato in India

Murthy,

Choudhary,

Pandey

et al. 2024

Climate Risk Management

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Satellite-Based Assessment of Hailstorm Affected Potato Crop for Insurance Purpose

Choudhary¹,

Chakraborty²,

Murthy³

et al. 2021

Preprint

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Assessing the extent of hailstorm affected crop is one of the thrust areas for quantifying mid-season adversaries under crop insurance values chain. This study evaluated the pre- and post-hailstorm responses on spectral bands and vegetation indices derived from Sentinel-2 data for assessing the severity class of the affected potato crop. The potato crop was mapped using pre-event satellite data with overall accuracy of 88% (k=0.82). Pair-wise Games-Howell t-test showed significant differences among the post-hailstorm potato severity classes in Red, Near Infrared & Short-wave Infra-red (SWIR) bands and Normalized vegetation indices. Percentage change (from pre- to post-event) in band reflectance and vegetation indices showed a better sensitivity in differentiating damage severity. Differential behaviour of SWIR-1 (Band-11) and SWIR-2 (Band-12) were observed within severely affected potato crop under dry and wet soil conditions. Decision matrix based on percentage change in Normalized difference Vegetation Index (DNDVI) and Normalized difference Tillage Index (DNDVI) could able to capture the damage severity classes with an overall accuracy of 86.7%. Higher proportion of affected area were found to be associated with larger percentage of Potato yield reduction based on measured yield data at Insurance unit level. The proposed methodology could be adopted for operational assessment of the impact of hailstorm events on crops.

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Performance of Potato Varieties for Growth, Yield and Yield Attributing in South Eastern Rajasthan

Abstract: Present study was conducted to evaluate the growth performance of ten (10) different potato varieties viz.

Cited by 4 publications

References 5 publications

Satellite-based assessment of hailstorm-affected potato crop for insurance purpose

Satellite-based assessment of hailstorm-affected potato crop for insurance purpose

Transformative crop insurance solution with big earth data: Implementation for potato in India

Satellite-Based Assessment of Hailstorm Affected Potato Crop for Insurance Purpose

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