Effectiveness of a Complex Fertilisation Technology Applied to Zea mays, Assessed Based on Normalised Difference Vegetation Index (NDVI) from Terra Moderate Resolution Imaging Spectroradiometer (MODIS)

Matłok, Natalia; Basara, Oskar; Zardzewiały, Miłosz; Gorzelany, Józef; Balawejder, Maciej

doi:10.3390/agriculture11080754

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…An important physiological parameter of plants that indicates their nitrogen status is the relative chlorophyll content in plant leaves [ 23 , 24 ]. Substrates characterized by the highest total nitrogen content were those produced with the involvement of compost A, which was made from 80% sewage sludge and 20% sawdust ( Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

Physiological and Morphological Implications of Using Composts with Different Compositions in the Production of Cucumber Seedlings

Zapałowska,

Matłok,

Piechowiak

et al. 2023

IJMS

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Compost has a broad application in terms of the improvement of the soil properties. This research work was conducted to present the molecular implications of using compost obtained from different substrates to improve soil parameters for cucumber seedlings cultivation. In the experiment, the following compost mixtures were used: sewage sludge (80%) + sawdust (20%); sewage sludge (40%) + sawdust (10%) + biodegradable garden and park waste (50%); biodegradable garden and park waste (90%) + sawdust (10%); sewage sludge (80%) + sawdust (20%) + Eisenia fetida; sewage sludge (40%) + sawdust (10%) + biodegradable garden and park waste (50%) + Eisenia fetida; biodegradable garden and park waste (90%) + sawdust (10%) + Eisenia fetida. The final substrate compositions consisted of compost mixtures and deacidified peat(O) (pH 6.97; Corg content—55%, N content—2.3%), serving as a structural additive, in different mass ratios (mass %). The produced plants underwent biometric and physiological measurements as well as enzymatic analyses of stress markers. Based on the conducted studies, it has been found that the substrate productivity depends not only on the content of nutrient components but also on their structure, which is moderated by the proportion of peat in the substrate. The most effective and promising substrate for cucumber seedling production was variant 2 (I), which consisted of 25% compost from sewage sludge (40%) + sawdust (10%) + biodegradable garden and park waste (50%) and 75% deacidified peat. Despite the richness of the other substrates, inferior parameters of the produced seedlings were observed. The analysis of the enzymatic activity of stress markers showed that these substrates caused stress in the plants produced. The study’s results showed that this stress was caused by the presence of Eisenia fetida, which damaged the developing root system of plants in the limited volume of substrate (production containers). The adverse influence of Eisenia fetida on the plants produced could possibly be eliminated by thermal treatment of the compost, although this could lead to significant changes in composition.

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Section: Resultsmentioning

confidence: 99%

Physiological and Morphological Implications of Using Composts with Different Compositions in the Production of Cucumber Seedlings

Zapałowska,

Matłok,

Piechowiak

et al. 2023

IJMS

Self Cite

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“…Apart from the above-mentioned widely used VIs, with recent technological advancement, several additional VIs have also been developed. Examples include the ratio spectral index and normalized difference spectral index, which are used for recognizing vegetation stress caused by hydrocarbon pollution [102], the enhanced vegetation index (EVI) [14,103], the perpendicular vegetation index, and the atmospherically resistant vegetation index (ARVI) [104]. Furthermore, these VIs improve sensitivity in high biomass environments by reducing soil background (brightness, color) and other atmospheric impacts (cloud, leaf canopy shadow, and cloud shadow).…”

Section: Determination Of Canopy Water Contentmentioning

confidence: 99%

Utilization of Spectral Indices for High-Throughput Phenotyping

Tayade

Yoon

Lay

et al. 2022

Plants

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The conventional plant breeding evaluation of large sets of plant phenotypes with precision and speed is very challenging. Thus, consistent, automated, multifaceted, and high-throughput phenotyping (HTP) technologies are becoming increasingly significant as tools to aid conventional breeding programs to develop genetically improved crops. With rapid technological advancement, various vegetation indices (VIs) have been developed. These VI-based imaging approaches, linked with artificial intelligence and a variety of remote sensing applications, provide high-throughput evaluations, particularly in the field of precision agriculture. VIs can be used to analyze and predict different quantitative and qualitative aspects of vegetation. Here, we provide an overview of the various VIs used in agricultural research, focusing on those that are often employed for crop or vegetation evaluation, because that has a linear relationship to crop output, which is frequently utilized in crop chlorophyll, health, moisture, and production predictions. In addition, the following aspects are here described: the importance of VIs in crop research and precision agriculture, their utilization in HTP, recent photogrammetry technology, mapping, and geographic information system software integrated with unmanned aerial vehicles and its key features. Finally, we discuss the challenges and future perspectives of HTP technologies and propose approaches for the development of new tools to assess plants’ agronomic traits and data-driven HTP resolutions for precision breeding.

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Investigating the Spatiotemporal Distributions of NO2, SO2 and Their Association with NDVI in Lahore (Pakistan) and Its Adjoining Region of Punjab (India)

Rana

Siddiqui

Haq

2023

J Indian Soc Remote Sens

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Effectiveness of a Complex Fertilisation Technology Applied to Zea mays, Assessed Based on Normalised Difference Vegetation Index (NDVI) from Terra Moderate Resolution Imaging Spectroradiometer (MODIS)

Cited by 4 publications

References 32 publications

Physiological and Morphological Implications of Using Composts with Different Compositions in the Production of Cucumber Seedlings

Physiological and Morphological Implications of Using Composts with Different Compositions in the Production of Cucumber Seedlings

Utilization of Spectral Indices for High-Throughput Phenotyping

Investigating the Spatiotemporal Distributions of NO2, SO2 and Their Association with NDVI in Lahore (Pakistan) and Its Adjoining Region of Punjab (India)

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