Unveiling Temporal and Spatial Research Trends in Precision Agriculture: A BERTopic Text Mining Approach DOI Creative Commons
Yang Liu, Fanghao Wan

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36808 - e36808

Published: Aug. 24, 2024

This study leverages the BERTopic algorithm to analyze evolution of research within precision agriculture, identifying 37 distinct topics categorized into eight subfields: Data Analysis, IoT, UAVs, Soil and Water Management, Crop Pest Livestock, Sustainable Agriculture, Technology Innovation. By employing BERTopic, based on a transformer architecture, this enhances topic refinement diversity, distinguishing it from traditional reviews. The findings highlight significant shift towards IoT innovations, such as security privacy, reflecting integration smart technologies with agricultural practices. Notably, introduces comprehensive popularity index that integrates trend intensity proportion, providing nuanced insights dynamics across countries journals. analysis shows regions robust development, USA Germany, are advancing in like Machine Learning while diversity topics, assessed through information entropy, indicates varied global scope. These assist scholars institutions selecting directions provide newcomers an understanding field's dynamics.

Language: Английский

Smart Plant Disease Diagnosis Using Multiple Deep Learning and Web Application Integration DOI Creative Commons

Ahmed M. S. Kheir,

Anis Koubâa,

Vinothkumar Kolluru

et al.

Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 101948 - 101948

Published: April 1, 2025

Language: Английский

Citations

0

Role of Drones in Climate Change Mitigation and Adaptation DOI
Sameer Saharan,

Meha Khiria,

Tilak Ram Chandrakar

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 41 - 70

Published: Feb. 28, 2025

In this chapter, important benefits of drone technology have been discussed which can significantly increase climate flexibility. Unmatched capacity is provided by drones in areas risk assessment, environmental monitoring, concerns and quick action. Their high height, advanced sensor favorable viewing places are the reason for this. The use provides information necessary to make initial intervention program construction informed decisions. Two examples applications under category include tracking forest cutting altering sea-mounting level. Adopting help many ways, such as increasing community adaptability, reducing effects change advancing continuous development. purpose chapter provide an in-depth analysis potential shortcomings, advantages useful tools development flexible civilizations towards change.

Language: Английский

Citations

0

Crop Technology, Cultivation System, and Maize Production Characteristics DOI Open Access
Daniel I. Păcurar,

Horia Pop,

Ioan Oroian

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4132 - 4132

Published: May 2, 2025

The maize crop is an essential contributor to food security. At a global level, it the cereal with highest production, and second imported commodity. This study evaluates impact of precision agriculture on morpho-productive traits agronomic efficiency Turda 201 hybrid under distinct cultivation systems. A bifactorial field trial was conducted in Cojocna, Transylvania (Romania), using two factors: farming system (organic vs. conventional) technology (standard precision). work hypothesis that can enhance performance compared standard methods. results indicated morphological such as plant height (197 cm), cob length (17.20 leaf number (10.60) were significantly higher conventional system, particularly technology. In organic while improvements observed input, overall growth yield remained lower. same trends are seen production traits, which lower (6464.22 kg/ha 9204 kg/ha, when used). Agronomic has spectacular increase conventional–precision experimental variant (4.92 kg/kg) organic–standard (0.002 kg/kg). Crude protein, dry matter, nitrogen-free starch content main qualitative characteristics influenced by cropping led values above-mentioned parameters (86.90% 83.60% matter; 10.75% 8.65% crude protein; 72.60% 64.40% 83.15% 79.50% starch). Principal Component Analysis revealed (PC1) dominant factor influencing environmental factors (PC2) contributed mainly variability characteristics. These findings support use tool for enhancing sustainable

Language: Английский

Citations

0

A generalizable and interpretable model for early warning of pest-induced crop diseases using environmental data DOI

D. R. Wadhwa,

Kamal Malik

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 227, P. 109472 - 109472

Published: Oct. 3, 2024

Language: Английский

Citations

3

Unveiling Temporal and Spatial Research Trends in Precision Agriculture: A BERTopic Text Mining Approach DOI Creative Commons
Yang Liu, Fanghao Wan

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36808 - e36808

Published: Aug. 24, 2024

This study leverages the BERTopic algorithm to analyze evolution of research within precision agriculture, identifying 37 distinct topics categorized into eight subfields: Data Analysis, IoT, UAVs, Soil and Water Management, Crop Pest Livestock, Sustainable Agriculture, Technology Innovation. By employing BERTopic, based on a transformer architecture, this enhances topic refinement diversity, distinguishing it from traditional reviews. The findings highlight significant shift towards IoT innovations, such as security privacy, reflecting integration smart technologies with agricultural practices. Notably, introduces comprehensive popularity index that integrates trend intensity proportion, providing nuanced insights dynamics across countries journals. analysis shows regions robust development, USA Germany, are advancing in like Machine Learning while diversity topics, assessed through information entropy, indicates varied global scope. These assist scholars institutions selecting directions provide newcomers an understanding field's dynamics.

Language: Английский

Citations

2