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GROWTH AND YIELD RESPONSES OF SOYBEAN (Glycine max L.) TO ZINC OXIDE (ZnO) NANOPARTICLES FOLIAR APPLICATION

Fayomi Omotola Michael, Olasan Joseph Olalekan, Aguoru Celestine Uzoma, Terhemba Mamnenge Sarah • Biotechnologia Acta (2024)

Aim. This study was purposed to investigate the effects of zinc oxide nanoparticles (ZnO NPs) on the growth and yield performance of two soybean (Glycine max L.) varieties, TGX1904-6F and TGX1951-3F, under controlled experimental conditions...

DOAJ Open Access (DOAJ) DOI: 10.15407/biotech17.06.056

Natural language processing

David C. Yen, William S. Davis • CRC Press eBooks (2019)

This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...

OPENALEX DOI: https://doi.org/10.1201/9781420049107-68

Computer vision in smart agriculture and precision farming: Techniques and applications

Sumaira Ghazal, Arslan Munir, Waqar Shahid Qureshi • Artificial Intelligence in Agriculture (2024)

The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence (AI) technologies. Thi...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.aiia.2024.06.004

Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection

Rittik Chandra Das Turjy, Fahmid Al Farid, Fahmid Al Farid, Md. Hasan Imam Bijoy et al. • Frontiers in Artificial Intelligence (2026)

Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1884567

Estimating Black Oat Biomass Using Digital Surface Models and a Vegetation Index Derived from RGB-Based Aerial Images

Lucas Renato Trevisan, Lisiane Brichi, Tamara Maria Gomes, Fabrício Rossi • Remote Sensing (2023)

Responsible for food production and industry inputs, agriculture needs to adapt to worldwide increasing demands and environmental requirements. In this scenario, black oat has gained environmental and economic importance since it can be use...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs15051363

VISION-LINK AI Smart Glass: An Edge-Cloud Wearable AI System for Workflow Automation and Digital Inclusion in Emerging Economies

Buhari Salisu • International Journal of AI and Advanced Computing (2026)

The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...

DOAJ Open Access (DOAJ) DOI: 10.5281/zenodo.21981139

Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions

Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui et al. • IEEE Access (2025)

Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3589938

Fruits and vegetables quality evaluation using computer vision: A review

Anuja Bhargava, Atul Bansal • Journal of King Saud University - Computer and Information Sciences (2018)

In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are affected by assorting of fruits and vegetables. The crucial sensory characteristic of fr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jksuci.2018.06.002

Computer Vision Syndrome

Susan A. Randolph • Workplace Health & Safety (2017)

With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and...

OPENALEX DOI: https://doi.org/10.1177/2165079917712727

Deep Learning-Driven Predictive Modelling for Optimizing Stingless Beekeeping Yields

Noor Hafizah Khairul Anuar, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim et al. • Journal of Computing Research and Innovation (2024)

Environmental factors like temperature, solar irradiance, and rain may influence the health and productivity of stingless bees. This paper aims to investigate the best approaches applied in meliponiculture to predict beehive health and prod...

DOAJ Open Access (DOAJ)

Deep Learning-Based Land Cover Extraction from Very-High-Resolution Satellite Imagery for Assisting Large-Scale Topographic Map Production

Yofri Furqani Hakim, Fuan Tsai • Remote Sensing (2025)

The demand for large-scale topographic maps in Indonesia has significantly increased due to the implementation of several government initiatives that necessitate the utilization of spatial data in development planning. Currently, the nation...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs17030473

Fatigue Monitoring Through Wearables: A State-of-the-Art Review

Neusa R. Adão Martins, Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler et al. • Frontiers in Physiology (2021)

The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphys.2021.790292

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

Sebastian Raschka, Joshua M. Patterson, Corey Nolet • Information (2020)

Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the...

OPENALEX cc-by DOI: https://doi.org/10.3390/info11040193

Artificial Intelligence Adoption and Employee Productivity in Vietnam’s Technology Sector: Evidence From Telecommunications and IT Firms

Nguyen Trung Kien, Quang Hung Do, Nguyen Tung Duong • SAGE Open (2026)

This study investigates the impact of artificial intelligence (AI) adoption on employee productivity within Vietnam’s technology sector, with a particular focus on telecommunications and information technology firms. Using survey data colle...

DOAJ Open Access (DOAJ) DOI: 10.1177/21582440261488067

The role of evaluative nouns in shaping modern English movie discourse: An axiological and morphological analysis

Irena Snikhovska, Larysa Soloviova, Julia Bereziuk, Svitlana Poplavska et al. • English Language Teaching Educational Journal (2026)

Evaluative language has been widely examined, but evaluative nouns in cinematic discourse remain insufficiently studied. This study addresses this gap by systematically analyzing evaluative nouns in English movie dialogue. A sample of 176 l...

DOAJ Open Access (DOAJ)

Artificial Intelligence in Science

OECD • OECD eBooks (2023)

The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI....

OPENALEX DOI: https://doi.org/10.1787/a8d820bd-en

The Impact of Artificial Intelligence on Innovation

Iain Cockburn, Rebecca M. Henderson, Scott Stern • University of Chicago Press eBooks (2019)

Artificial intelligence may greatly increase the efficiency of the existing economy. But it may have an even larger impact by serving as a new general-purpose “method of invention” that can reshape the nature of the innovation process and t...

OPENALEX Open Access DOI: https://doi.org/10.7208/chicago/9780226613475.003.0004