Phenological stage and vegetation index for predicting corn yield under rainfed environments

Shrestha, Amrit; Bheemanahalli, Raju; Adeli, Ardeshir; Samiappan, Sathishkumar; Czarnecki, Joby M. Prince; McCraine, C. Daniel; Reddy, K. Raja; Moorhead, Robert J.

doi:10.3389/fpls.2023.1168732

Cited by 8 publications

(1 citation statement)

References 83 publications

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“…Matsushita et al (2007) proclaim that Normalized Difference Vegetation Index (NDVI) is commonly used indices. The Normalized Difference Vegetation Index (NDVI) has been found to have a positive correlation with many physiological parameters of plants, including photosynthetic efficiency, potassium content, phosphorous, foliar nitrogen, and leaf chlorophyll content (Shrestha et al, 2023). Additionally, NDVI has been associated with the overall greenness of vegetation (Xue et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Chlorophyll Content in Leaves of Crops and Orchards Based on SPAD, Multispectral, and Hyperspectral Techniques

Niaz,

Gulzar,

Kazmi

et al. 2023

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Strategic planning in developed and developing countries has significantly benefited from early assessment, identification and crop production monitoring. Remote sensing surveillance of crop health has brought significant benefits to farmers regarding early detection of latent issues, such as nutrient deficiencies or crop ailments, and taking remedial action. The study used geospatial techniques to monitor the orchards and crops of Halani in the Pakistani province of Sindh, using GeoEye and Landsat-8 satellite imagery. The absorbance of chlorophyll content in six fruit trees: mango (Mangifera indica L.), banana (Musa acuminata Colla), musambi (Citrus limetta Risso), kino (Citrus aurantium L.), lemon (Citrus limon (L.) Osbeck) and guava (Psidium guajava L.), as well as four crops: maise (Zea mays L.), rice (Oryza sativa L.), cotton (Gossypium herbaceum L.), and sugarcane (Saccharum) were recorded spectrophotometrically using a Beckman Coulter DU-530 single cell module spectrophotometer at 648 nm and 665 nm (homogenised in 100% ethanol), and non-destructive chlorophyll using a SPAD-502 portable chlorophyll meter (Minolta Corporation, New Jersey, USA) showed a strong positive correlation. The results of chlorophyll absorbance showed the same trend in crops through satellite data and laboratory analysis. Chlorophyll content and NDVI showed a positive correlation. The R² value for rice and banana was 0.9925 and 0.9578, respectively, while the SPAD and chlorophyll R² for rice was 0.838 and 0.75 for banana. The overall results indicate high chlorophyll content in the leaves of orchards rather than crops. The study's outcomes show that satellite data are a potentially reliable and resourceful tool for early assessment of the reliability of agricultural monitoring. The health and growth of crops can be monitored with satellite data, which are ultimately used for yield prediction, consequently helping growers strategically harvest and market.

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Section: Introductionmentioning

confidence: 99%

Assessment of Chlorophyll Content in Leaves of Crops and Orchards Based on SPAD, Multispectral, and Hyperspectral Techniques

Niaz,

Gulzar,

Kazmi

et al. 2023

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Guidelines for quantifying leaf chlorophyll content via non‐destructive spectrometry

Chiarenza,

Slavich,

Moles

2024

Appl Plant Sci

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PremiseLeaf chlorophyll is a fundamental bioindicator used in several fields; however, we lack clear guidelines for optimizing sampling efforts and producing comparable studies.MethodsWe estimated the leaf chlorophyll content of 10 plant species using nondestructive spectrometry methods. We stored half of the leaves at 4°C and half at room temperature under similar light levels to assess the role of storage in the chlorophyll degradation rate.ResultsThe chilled mature leaves maintained a chlorophyll content within 5% of the original value for ~1.5 d, while the chlorophyll content of unrefrigerated mature leaves decreased rapidly, indicating that their chlorophyll content should be measured within 4 h. When refrigerated, the chlorophyll content of the expanding leaves remained within 5% of the original level for at least 5 d, but we suggest analyzing them within 3 d. In mature leaves, 73% of the variation in chlorophyll content is at the species level, 15% is between individuals, and the variation within leaves is negligible (<1%). Measuring one mature leaf from eight individuals was sufficient to provide a species chlorophyll estimate within 5% of the true value at least 80% of the time.DiscussionWe advise researchers to prioritize sampling more individuals rather than repeating measures within leaves or individuals. Our findings will help researchers to optimize their time and research efforts, and to obtain more robust ecological data.

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Web-based spatial decision support system for precision agriculture: A tool for delineating dynamic management unit zones (MUZs)

Lanucara,

Praticò,

Pioggia

et al. 2024

Smart Agricultural Technology

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Phenological stage and vegetation index for predicting corn yield under rainfed environments

Cited by 8 publications

References 83 publications

Assessment of Chlorophyll Content in Leaves of Crops and Orchards Based on SPAD, Multispectral, and Hyperspectral Techniques

Assessment of Chlorophyll Content in Leaves of Crops and Orchards Based on SPAD, Multispectral, and Hyperspectral Techniques

Guidelines for quantifying leaf chlorophyll content via non‐destructive spectrometry

Web-based spatial decision support system for precision agriculture: A tool for delineating dynamic management unit zones (MUZs)

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