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Metabolic Analysis of Carotenoids and Phenolic Compounds Found in Green and Purple Kenaf

Chang Ha Park, Soon-Jae Kwon, Nam Su Kim, Seung-A Baek et al. • Natural Product Communications (2020)

The chemical composition of the different plant parts of green ( Hibiscus cannabinus L. cv. Jangdae) and purple ( H. cannabinus L. cv. Jeokbong) kenaf cultivars were investigated using high-performance liquid chromatography. Ten carotenoid ...

DOAJ Open Access (DOAJ) DOI: 10.1177/1934578X20971138

In-Situ Monitoring and Prediction of Frost Growth on Plant Leaves Based on Dielectric Spectrum Analysis and an SWT-SSA-LSTM Model

Huan Song, Lijun Wang, Yuguo Gao, Shuman Guo et al. • AgriEngineering (2026)

Accurate and in-situ monitoring of frost growth on plant leaves is crucial for disaster prevention in smart agriculture. To address the limitations of traditional methods in quantification and continuity, this study proposes a novel monitor...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriengineering8020067

Climate change adaptation in agriculture food supply chains: a bibliometric and content analysis

Rahmanwali Sahar, Munjiati Munawaroh, Jawidullah Iqbal • Discover Sustainability (2025)

Abstract This study explores the intellectual development and research landscape surrounding climate change adaptation in agricultural food supply chains through a combined bibliometric and content analysis. The primary objective is to map ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02105-9

Formulation optimization and flavor quality assessment of ginger tea

Shouhui Wei, Qiao Tan, Weining Wei, Hongbo Jiang et al. • Journal of Agriculture and Food Research (2026)

Ginger (Zingiber officinale Roscoe) is a characteristic economic crop with both medicinal and edible functions. The aroma and bioactive compounds in ginger tea are primarily derived from ginger. Developing a novel ginger tea with a rich aro...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jafr.2026.102977

Association Mapping of Seed Coat Color Characteristics for Near-Isogenic Lines of Colored Waxy Maize Using Simple Sequence Repeat Markers

Tae Hyeon Heo, Hyeon Park, Nam-Wook Kim, Jungeun Cho et al. • Plants (2024)

Waxy maize is mainly cultivated in South Korea for the production of food and snacks, and colored maize with increased anthocyanin content is used in the production of functional foods and medicinal products. Association mapping analysis (A...

DOAJ Open Access (DOAJ) DOI: 10.3390/plants13152126

Dietary diversity among Sundarbans forest-dependent communities: Prevalence, determinants, and livelihood implications.

Md Tanvir Hossain, Tunvir Ahamed Shohel, Md Nasif Ahsan, Md Nazrul Islam • PLoS ONE (2026)

The resources of the Sundarbans mangrove forest have provided livelihoods for communities in Bangladesh and India that depend on it. However, the role of the Sundarbans in ensuring the household dietary diversity of Sundarbans mangrove fore...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0342800

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

Deep learning based computer vision approaches for smart agricultural applications

V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma et al. • Artificial Intelligence in Agriculture (2022)

The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learn...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.aiia.2022.09.007

IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT.

Khawja Imran Masud, Md Yasin Zihad, Mehedi Hasan Shuvo, Mst Raonik Jannat et al. • PLoS ONE (2026)

Early and real-time detection of rice leaf diseases (RLD) poses a significant challenge for farmers, especially in rural regions with limited access to advanced technology. Conventional deep learning models often require substantial computa...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0356383

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

Sameer Qazi, Bilal A. Khawaja, Qazi Umar Farooq • IEEE Access (2022)

Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3152544