4.7 Article

Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices

Related references

Note: Only part of the references are listed.
Article Plant Sciences

Effect of Reducing Nitrogen Fertilization and Adding Organic Fertilizer on Net Photosynthetic Rate, Root Nodules and Yield in Peanut

Guanchu Zhang et al.

Summary: Long-term excessive application of chemical fertilizers can cause problems such as soil degradation and environmental pollution. This study investigated the effects of reduced nitrogen fertilization, organic fertilization, and compound treatments on photosynthetic characteristics, root nodules, and yield of peanuts. The results showed that reducing nitrogen fertilization led to decreased leaf area, net photosynthetic rate, fruit weight, kernel weight, and yield of peanuts, but had no significant effect on kernel rate. Adding organic fertilization alone increased leaf area, chlorophyll, net photosynthetic rate, and yield of peanuts. The highest yields were achieved with the 25% nitrogen reduction and higher organic fertilizer treatments, and the quantity and fresh weight of root nodules were significantly affected by nitrogen fertilization.

PLANTS-BASEL (2023)

Article Biochemistry & Molecular Biology

Tolerance and adaptation characteristics of sugar beet (Beta vulgaris L.) to low nitrogen supply

Jiajia Li et al.

Summary: In this study, we evaluated the morphological and physiological responses of nine sugar beet genotypes to low nitrogen supply. We found that genotypes with low nitrogen tolerance showed better adaptation and growth performance.

PLANT SIGNALING & BEHAVIOR (2023)

Article Plant Sciences

Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions

Salah El-Hendawy et al.

Summary: This study examines the ability of canopy spectral reflectance data for accurate estimation of chlorophyll content in wheat genotypes. The results show that some spectral reflectance indices perform well in estimating chlorophyll content, while partial least square regression models exhibit poor performance for certain units of chlorophyll content.

PLANTS-BASEL (2022)

Article Agronomy

Interactive Effects of Gibberellic Acid and Nitrogen Fertilization on the Growth, Yield, and Quality of Sugar Beet

Ahmed A. A. Leilah et al.

Summary: Field trials conducted in Egypt showed that higher levels of nitrogen fertilizer and GA(3) concentration can significantly increase sugar beet yield and growth parameters, but also decrease quality parameters. Early application of GA(3) has a positive impact on sugar beet growth and yield.

AGRONOMY-BASEL (2021)

Article Plant Sciences

Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions

Salah El-Hendawy et al.

Summary: The study demonstrates that utilizing different vegetation indices can accurately assess the growth and chlorophyll content of wheat genotypes under saline field conditions, with the need to select appropriate indices based on specific conditions. The results show that simple forms of indices can effectively predict plant variables under saline conditions for distinct genotypes.

PLANTS-BASEL (2021)

Article Agronomy

Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data

Osama Elsherbiny et al.

Summary: This study proposed an effective prediction model for estimating plant water content and demonstrated that the integrated use of PCA and MF methods can provide a more robust feature selection for the prediction model.

AGRICULTURE-BASEL (2021)

Article Agriculture, Multidisciplinary

A novel spectral index for estimation of relative chlorophyll content of sugar beet

Jing Zhang et al.

Summary: This study proposed an optimal method for estimating relative chlorophyll content of sugar beet canopy using ground-based hyperspectral imagery. The newly introduced spectral index MCI showed the best performance in predicting SPAD value, outperforming classical spectral indexes after optimization of spectral bands.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Environmental Sciences

Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status

Ian J. Marang et al.

Summary: The research utilizes hyperspectral imaging combined with machine learning to accurately assess cotton crop nitrogen status, showing great potential in predicting nitrogen concentration and evaluating different treatment blocks. The study results demonstrate the effectiveness of hyperspectral imaging in predicting crop nitrogen concentration, indicating its significant potential in precision agriculture applications.

REMOTE SENSING (2021)

Article Agronomy

Sugar Beet Root Yield and Quality with Leaf Seasonal Dynamics in Relation to Planting Densities and Nitrogen Fertilization

Ivana Varga et al.

Summary: This study aimed to analyze the seasonal dynamics of sugar beet leaf and root yield and quality in different plant populations and nitrogen fertilization rates. Higher plant densities and nitrogen fertilization rates resulted in increased root yield, sucrose content, and white sugar yield for sugar beet.

AGRICULTURE-BASEL (2021)

Article Agronomy

Using optimized three-band spectral indices to assess canopy N uptake in corn and wheat

Fei Li et al.

Summary: The research has improved the accuracy of estimating canopy nitrogen uptake for corn and wheat using hyperspectral remote sensing technology and optimized three-band spectral indices, identifying suitable central bands for assessing nitrogen uptake. Validation results show that using the optimized three-band nitrogen plane domain index can more accurately estimate the nitrogen status of crops.

EUROPEAN JOURNAL OF AGRONOMY (2021)

Article Agriculture, Multidisciplinary

Passive reflectance sensing using optimized two- and three-band spectral indices for quantifying the total nitrogen yield of maize

Hasituya et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Green & Sustainable Science & Technology

Leveraging Turbine-Level Data for Improved Probabilistic Wind Power Forecasting

Ciaran Gilbert et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)

Article Agriculture, Multidisciplinary

Effect of ammonium and nitrate supplies on nitrogen and sucrose metabolism of Cabernet Sauvignon (Vitis vinifera cv.)

Haining Yin et al.

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2020)

Article Environmental Sciences

Assessment of red-edge vegetation indices for crop leaf area index estimation

Taifeng Dong et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Agriculture, Multidisciplinary

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

Mandeep Kaur Saggi et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

Article Plant Sciences

Physiological Assessment of Water Stress in Potato Using Spectral Information

Angela P. Romero et al.

FRONTIERS IN PLANT SCIENCE (2017)

Article Agronomy

Response of Beta vulgaris L. to nitrogen and micronutrients in dry environment

A. A. A. Mekdad et al.

PLANT SOIL AND ENVIRONMENT (2016)

Article Horticulture

Spectral evaluation of apple fruit ripening and pigment content alteration

Attila Nagy et al.

SCIENTIA HORTICULTURAE (2016)

Proceedings Paper Horticulture

Estimation of fruit maturation and ripening using spectral indices

U. K. Acharya et al.

XXIX INTERNATIONAL HORTICULTURAL CONGRESS ON HORTICULTURE: SUSTAINING LIVES, LIVELIHOODS AND LANDSCAPES (IHC2014): INTERNATIONAL SYMPOSIA ON ABSCISSION PROCESSES IN HORTICULTURE AND NON-DESTRUCTIVE ASSESSMENT OF FRUIT ATTRIBUTES (2016)

Article Agronomy

Evaluation of canola chlorophyll index and leaf nitrogen under wide range of soil moisture

Fatemeh Meskini-Vishkaee et al.

INTERNATIONAL AGROPHYSICS (2015)

Article Geography, Physical

Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels

Samuel Adelabu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)

Article Engineering, Environmental

Tracking Nonpoint Source Nitrogen Pollution in Human-Impacted Watersheds

Sujay S. Kaushal et al.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2011)

Article Agriculture, Multidisciplinary

A meta-analysis of sugarbeet yield responses to nitrogen fertilizer measured in England since 1980

K. W. Jaggard et al.

JOURNAL OF AGRICULTURAL SCIENCE (2009)

Article Biochemical Research Methods

Conditional variable importance for random forests

Carolin Strobl et al.

BMC BIOINFORMATICS (2008)

Article Agronomy

Nitrogen fertilizer and the efficiency of the sugar beet crop in late summer

C. S. Malnou et al.

EUROPEAN JOURNAL OF AGRONOMY (2008)

Article Ecology

A working guide to boosted regression trees

J. Elith et al.

JOURNAL OF ANIMAL ECOLOGY (2008)

Article Agronomy

A canopy approach to nitrogen fertilizer recommendations for the sugar beet crop

C. S. Malnou et al.

EUROPEAN JOURNAL OF AGRONOMY (2006)

Article Engineering, Chemical

Feature selection algorithms using Chilean wine chromatograms as examples

NH Beltrán et al.

JOURNAL OF FOOD ENGINEERING (2005)

Article Engineering, Environmental

Applications of artificial neural networks in integrated water management: fiction or future?

FH Schulze et al.

WATER SCIENCE AND TECHNOLOGY (2005)

Article Plant Sciences

An evaluation of noninvasive methods to estimate foliar chlorophyll content

AD Richardson et al.

NEW PHYTOLOGIST (2002)