NDVI is the best parameter for yield prediction at the peak vegetative stage of potato (Solanum tuberosum L.)

Accurate yield prediction and optimization are critical for sustainable potato production, particularly in resource-limited regions affected by climatic variability. This study evaluates the normalized difference vegetation index (NDVI) values obtained during the peak vegetative stage to optimize tuber yield prediction in potato ( Solanum tuberosum L.) under subtropical conditions. Field experiments were conducted over two years in Kharagpur, India, using a strip-plot design. Soil management treatments included mulched and non-mulched plots, while water management treatments comprised conventional furrow irrigation (C), drip irrigation at field capacity (D-FC), 90 ​% field capacity (D-90 ​%FC), and 80 ​% field capacity (D-80 ​%FC). Key parameters, including NDVI, biomass, soil moisture, and tuber yield, were measured and analyzed using correlation, principal component analysis (PCA), and quadratic regression models. NDVI emerged as a critical predictor of tuber yield, showing strong positive correlations with biomass and yield traits. Drip irrigation (D-FC) significantly improved tuber yield compared to conventional furrow irrigation, with the highest yield recorded at 26.22 ​t ​ha −1 , followed by D-90 ​%FC at 21.69 ​t ​ha −1 , while conventional irrigation yielded 22.37 ​t ​ha −1 . Additionally, mulching (+M) enhanced yields across all drip irrigation treatments. Treatments like D-90 ​%FC and D-90 ​%FC-M showed the highest associations with NDVI, biomass, and yield. A quadratic regression model (R 2 ​= ​0.95) accurately captured the relationship between NDVI and tuber yield, with model validation (R 2 ​= ​0.97) confirming its reliability across seasons. This study highlights the potential of NDVI-based monitoring for real-time yield prediction and precision irrigation in potato production. The findings suggest that integrating NDVI-based monitoring with advanced irrigation practices can enhance resource efficiency and promote sustainable agriculture. • NDVI at 60 DAP shows a strong correlation with tuber yield and biomass, making it a robust predictor of potato productivity. • Drip irrigation (90 ​% FC) with mulching enhances tuber yield over furrow irrigation. • A validated quadratic model (R 2 ​= ​0.97) reliably predicts tuber yield using NDVI.

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Publication Details

Journal
Climate smart agriculture.
Published
2025-04-15
DOI
https://doi.org/10.1016/j.csag.2025.100053
Citations
5
Primary Topic
Potato Plant Research
Type
article
Field-Weighted Citation Impact
5.81
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article

NDVI is the best parameter for yield prediction at the peak vegetative stage of potato (Solanum tuberosum L.)

Dillip Kumar Swain, Gourav Dhar Bhowmick, Poonam Biswal, Geetha Mohan et al.
5 citations
Climate smart agriculture.
Potato Plant Research
5.81
article

NDVI is the best parameter for yield prediction at the peak vegetative stage of potato (Solanum tuberosum L.)

Dillip Kumar Swain, Gourav Dhar Bhowmick, Poonam Biswal, Geetha Mohan, Ahmad Faisal
article en
5 citations

Abstract

Accurate yield prediction and optimization are critical for sustainable potato production, particularly in resource-limited regions affected by climatic variability. This study evaluates the normalized difference vegetation index (NDVI) values obtained during the peak vegetative stage to optimize tuber yield prediction in potato ( Solanum tuberosum L.) under subtropical conditions. Field experiments were conducted over two years in Kharagpur, India, using a strip-plot design. Soil management treatments included mulched and non-mulched plots, while water management treatments comprised conventional furrow irrigation (C), drip irrigation at field capacity (D-FC), 90 ​% field capacity (D-90 ​%FC), and 80 ​% field capacity (D-80 ​%FC). Key parameters, including NDVI, biomass, soil moisture, and tuber yield, were measured and analyzed using correlation, principal component analysis (PCA), and quadratic regression models. NDVI emerged as a critical predictor of tuber yield, showing strong positive correlations with biomass and yield traits. Drip irrigation (D-FC) significantly improved tuber yield compared to conventional furrow irrigation, with the highest yield recorded at 26.22 ​t ​ha −1 , followed by D-90 ​%FC at 21.69 ​t ​ha −1 , while conventional irrigation yielded 22.37 ​t ​ha −1 . Additionally, mulching (+M) enhanced yields across all drip irrigation treatments. Treatments like D-90 ​%FC and D-90 ​%FC-M showed the highest associations with NDVI, biomass, and yield. A quadratic regression model (R 2 ​= ​0.95) accurately captured the relationship between NDVI and tuber yield, with model validation (R 2 ​= ​0.97) confirming its reliability across seasons. This study highlights the potential of NDVI-based monitoring for real-time yield prediction and precision irrigation in potato production. The findings suggest that integrating NDVI-based monitoring with advanced irrigation practices can enhance resource efficiency and promote sustainable agriculture. • NDVI at 60 DAP shows a strong correlation with tuber yield and biomass, making it a robust predictor of potato productivity. • Drip irrigation (90 ​% FC) with mulching enhances tuber yield over furrow irrigation. • A validated quadratic model (R 2 ​= ​0.97) reliably predicts tuber yield using NDVI.

Climate smart agriculture.Vol. 2(2)
Indian Institute of Technology Kharagpur (IN), University of Toyama (JP)
Zero hunger
Openalex Percentile: Top 5%
Potato Plant Research
5.81
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