Leaf nitrogen estimation in potato based on spectral data and on simulated bands of the VENμS satellite

Cohen, Y.; Alchanatis, V.; Zusman, Y.; Dar, Z.; Bonfil, David J.; Karnieli, Arnon; Zilberman, A.; Moulin, A.; Ostrovsky, V.; Levi, A.; Brikman, R.; Shenker, Moshe

doi:10.1007/s11119-009-9147-8

Cited by 97 publications

(22 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the soluble total sugar content can be increased by reducing the content of available nitrogen, ammonium nitrogen, and available phosphorus in soil. The researchers reported that the PLSR method was stronger correlation than transformed chlorophyll absorption reflectance index (TCARI) method with leaf-%N [45]. In this study, the determination coefficient (R 2 ) was ranged from 0.316 to 0.576.…”

Section: Discussionmentioning

confidence: 83%

The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR

et al. 2020

View full text Add to dashboard Cite

Potato tuber quality is influenced by the interaction of soil nutrients. Hence, simple correlation analysis cannot accurately reflect the true relationship between soil nutrients and potato tuber quality. In this study, potato tuber quality and soil nutrient content were used as research materials in the Loess Plateau of China. The partial least square regression (PLSR) method was used to establish the regression equation between potato quality and soil nutrient. The major soil nutrient indexes influencing potato quality were screened out to provide theoretical basis for potato field management. The results showed that the major soil nutrient factors influencing the potato tuber quality in Loess Plateau were soil ammonium nitrogen, soil nitrate nitrogen, soil available phosphorus, pH, and soil available potassium. Soil pH value is the most important factor affecting potato starch, reducing sugar content, and soluble protein content. Soil nitrate nitrogen is one of the important factors affecting potato tuber soluble total sugar content, vitamin C, browning intensity, and polyphenol oxidase activity. Soil ammonium nitrogen was positively correlated with the total soluble sugar content of potato tubers, and negatively correlated with reducing sugar content, browning intensity, and polyphenol oxidase activity. However, soil available potassium has positive effects on potato starch and reducing sugar content, and negative effects on soluble protein and browning strength. Results of this study indicates that the major soil nutrient factors influencing potato tuber quality were soil nitrate nitrogen and soil pH value.

show abstract

Section: Discussionmentioning

confidence: 83%

The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Shanahan et al (2008) indicated that a chlorophyll‐based index, the transformed soil‐adjusted vegetation index, or TSAVI, detected fewer variations in greenness or canopy vigor of cereal crops during early‐stage growth. Moreover, Cohen et al (2010) reported that the TCARI was highly correlated with leaf N concentration of a potato crop only at tuber bulking stage, but not at early growth stage. In contrast, combinations of indices using chlorophyll wavelengths, such as the MCARI/SAVIL1, performed better (| r | = 0.77) in predicting NNI values than did the widely used NDVI ( r = 0.61).…”

Section: Resultsmentioning

confidence: 99%

In‐Season Nitrogen Status Assessment and Yield Estimation Using Hyperspectral Vegetation Indices in a Potato Crop

2015

View full text Add to dashboard Cite

Th e rate and timing of N applications are important issues in precision agriculture because of the within-fi eld spatial and temporal variability of soil N availability. In-season assessment of potato (Solanum tuberosum L.) crop N status (CNS) is required to better match N fertilizer supply to crop N demand and improve N use effi ciency. Th e objective of this study was to investigate the ability of hyperspectral vegetation indices (HVIs) to assess the CNS and tuber yield of irrigated 'Russet Burbank' potato at diff erent growth stages. A 2-yr fi eld experiment was conducted near Quebec City, QC, Canada, on plots receiving fi ve diff erent N rates ranging from 0 to 280 kg N ha -1 , with 40% applied at planting and 60% at hilling. Entire plant samples were collected biweekly for determination of the N nutrition index (NNI) as the N status reference method. In-fi eld hyperspectral refl ectance derived from a handheld spectroradiometer and using two fi elds of view (FOV; 7.5° and 25°) was obtained on several dates during both growing seasons. Th e sensitivity of the fi ve HVIs most correlated to the NNI was evaluated by analyses of variance and least signifi cant diff erences. It was found that HVIs computed from refl ectance in the red-edge spectral region and using a wider FOV were the most appropriate indices to detect potato crop N stress. Among these indices, the CI1 red-edge (red-edge chlorophyll index 1) was the most sensitive to potato N content and could explain 76% of the variability in total tuber yield at 55 d aft er planting (DAP).Abbreviations: ANOVA, analysis of variance; CNS, crop nitrogen status; DAP, days aft er planting; FOV, fi eld of view; HVI, hyperspectral vegetation index; LSD, least signifi cant diff erence; N0, 0 kg N ha -1 ; N60, 60 kg N ha -1 ; N120, 120 kg N ha -1 ; N200, 200 kg N ha -1 ; N280, 280 kg N ha -1 ; N c , critical nitrogen concentration; NIR, near-infrared; NNI, nitrogen nutrition index.

show abstract

“…VIP values show the importance of each wavelength to the model (Cohen et al, 2010). This method was applied for the two-class PLS-DA classification model as presented by Wold et al (1993).…”

Section: Resultsmentioning

confidence: 99%

Hyperspectral Technologies for Assessing Seed Germination and Trifloxysulfuron-methyl Response in Amaranthus palmeri (Palmer Amaranth)

et al. 2017

View full text Add to dashboard Cite

Weed infestations in agricultural systems constitute a serious challenge to agricultural sustainability and food security worldwide. Amaranthus palmeri S. Watson (Palmer amaranth) is one of the most noxious weeds causing significant yield reductions in various crops. The ability to estimate seed viability and herbicide susceptibility is a key factor in the development of a long-term management strategy, particularly since the misuse of herbicides is driving the evolution of herbicide response in various weed species. The limitations of most herbicide response studies are that they are conducted retrospectively and that they use in vitro destructive methods. Development of a non-destructive method for the prediction of herbicide response could vastly improve the efficacy of herbicide applications and potentially delay the evolution of herbicide resistance. Here, we propose a toolbox based on hyperspectral technologies and data analyses aimed to predict A. palmeri seed germination and response to the herbicide trifloxysulfuron-methyl. Complementary measurement of leaf physiological parameters, namely, photosynthetic rate, stomatal conductence and photosystem II efficiency, was performed to support the spectral analysis. Plant response to the herbicide was compared to image analysis estimates using mean gray value and area fraction variables. Hyperspectral reflectance profiles were used to determine seed germination and to classify herbicide response through examination of plant leaves. Using hyperspectral data, we have successfully distinguished between germinating and non-germinating seeds, hyperspectral classification of seeds showed accuracy of 81.9 and 76.4%, respectively. Sensitive and resistant plants were identified with high degrees of accuracy (88.5 and 90.9%, respectively) from leaf hyperspectral reflectance profiles acquired prior to herbicide application. A correlation between leaf physiological parameters and herbicide response (sensitivity/resistance) was also demonstrated. We demonstrated that hyperspectral reflectance analyses can provide reliable information about seed germination and levels of susceptibility in A. palmeri. The use of reflectance-based analyses can help to better understand the invasiveness of A. palmeri, and thus facilitate the development of targeted control methods. It also has enormous potential for impacting environmental management in that it can be used to prevent ineffective herbicide applications. It also has potential for use in mapping tempo-spatial population dynamics in agro-ecological landscapes.

show abstract

Leaf nitrogen estimation in potato based on spectral data and on simulated bands of the VENμS satellite

Cited by 97 publications

References 36 publications

The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR

The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR

In‐Season Nitrogen Status Assessment and Yield Estimation Using Hyperspectral Vegetation Indices in a Potato Crop

Hyperspectral Technologies for Assessing Seed Germination and Trifloxysulfuron-methyl Response in Amaranthus palmeri (Palmer Amaranth)

Contact Info

Product

Resources

About