DIGITALIZATION IN PLANT PRODUCTION AND PLANT PROTECTION IN BULGARIA – CURRENT STATUS AND FUTURE GOALS

Annals of the University of Craiova - Agriculture Montanology Cadastre Series , Journal Year: 2025, Volume and Issue: 54(1), P. 170 - 181

Published: Jan. 2, 2025

According to the "Strategic Plan for Development of Agriculture and Rural Areas Republic Bulgaria period 2023-2027", is significantly behind other EU members in terms digital technologies, especially agriculture. The present study aimed follow historical development agriculture up so-called “fourth revolution” - Digital (DA). DA can be considered from a scientific practical point view. Science demonstrate prove benefits using given tool or software by comparing results with those obtained standard analysis methods. From users' view, product must easy use, accessible technical economic view and, most importantly, provide accurate information. Many investigations on are made Bulgaria, but them it economically. Farmers have access variety products, unfortunately research shows that small percentage use them. Although only 14% farmers apply modern there trend towards increasing their interest DA, which will accelerate future.

Language: Английский

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Leveraging multi-omics tools to comprehend responses and tolerance mechanisms of heavy metals in crop plants

Functional & Integrative Genomics, Journal Year: 2024, Volume and Issue: 24(6)

Published: Oct. 23, 2024

Language: Английский

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Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4370 - 4370

Published: Nov. 22, 2024

This paper presents an extensive review of techniques for plant feature extraction and segmentation, addressing the growing need efficient phenotyping, which is increasingly recognized as a critical application remote sensing in agriculture. As understanding quantifying structures become essential advancing precision agriculture crop management, this survey explores range methodologies, both traditional cutting-edge, extracting features from images point cloud data, well segmenting organs. The importance accurate phenotyping underscored, given its role improving monitoring, yield prediction, stress detection. highlights challenges posed by complex morphologies data noise, evaluating performance various emphasizing their strengths limitations. insights offer valuable guidance researchers practitioners fields science experimental section focuses on three key tasks: 3D generation, 2D image-based extraction, shape classification, segmentation. Comparative results are presented using collected several publicly available datasets, along with insightful observations inspiring directions future research.

Language: Английский

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Exploring Genetic Variation and Trait Correlations in ‘Shiqian Taicha’ Tea Based on Comprehensive Analyses of Morphological and Biochemical Diversity

Horticulturae, Journal Year: 2024, Volume and Issue: 10(11), P. 1128 - 1128

Published: Oct. 23, 2024

This study explores the genetic variation and trait correlations within a collection of 52 ‘Shiqian Taicha’ tea germplasms originating from Shiqian County, Guizhou Province, China. The landraces exhibit substantial diversity are characterized by unique morphological biochemical attributes. Shannon-Weaver index (H’) values for traits ranged 0.37 to 2.06, with an average value 1.02, which suggests greater level than those other domestic germplasms. analysis demonstrated considerable variation, coefficients (CVs) components ranging 3.73 54.05% (mean CV: 20.35%). In addition, 25 had epigallocatechin-3-gallate (EGCG) contents ≥ 10%. correlation revealed significant associations between components, particularly positive leaf texture key such as total catechins (TC) EGCG (p < 0.01). clustering analysis, was based on profiles, further categorized into distinct groups. Notably, SWD-G, SLD005, SWXD005, SWD004 were identified superior comprehensive qualities high contents. These resources have potential cultivation specific varieties regional characteristics.

Language: Английский

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Safety Assessment and Contaminants Detection in Different types of Tea and Tea products

Reviews in Agricultural Science, Journal Year: 2024, Volume and Issue: 12(0), P. 347 - 376

Published: Jan. 1, 2024

Language: Английский

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