Journal of Agriculture and Food Research

JournalCitation impact & published research

Journal of Agriculture and Food Research is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 3,172 works, 37,298 citations, an h-index of 74 and an APC (USD) of 1,890.

3,172

Works

37,298

Citations

h-index

1,890

APC (USD)

IDs:OpenAlex

What are the most-cited papers on Journal of Agriculture and Food Research?

ScholarIQmost cited works

Recognition of early blight and late blight diseases on potato leaves based on graph cut segmentation

Chaojun Hou, Jiajun Zhuang, Yu Tang, Yong He, Aimin Miao, Huasheng Huang, Shaoming Luo

Journal of Agriculture and Food Research. 202197 CitationsOPEN ACCESS

Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification

Soo Jun Wei, Dimas Firmanda Al Riza, Hermawan Nugroho

Journal of Agriculture and Food Research. 202249 CitationsOPEN ACCESS

Free radical-scavenging capacity and HPLC-DAD screening of phenolic compounds from pulp and seed of Syzygium claviflorum fruit

Shafi Ahmed, Abdullah Jubair, Mohammad Afzal Hossain, Md Monir Hossain, Md. Shofiul Azam, Mrityunjoy Biswas

Journal of Agriculture and Food Research. 202143 CitationsOPEN ACCESS

Impact of crop management practices on maize yield: Insights from farming in tropical regions and predictive modeling using machine learning

Showkat Ahmad Bhat, Syed Asif Ahmad Qadri, Vijay Dubbey, Ishfaq Bashir Sofi, Nen‐Fu Huang

Journal of Agriculture and Food Research. 202422 CitationsOPEN ACCESS

Perspectives on communicating 21st-Century agricultural innovations to Nigerian rural farmers

Agwu A. Ejem, Charity Aremu, Olanrewaju O.P. Ajakaiye, Charity Ben-Enukora, Oluwakemi E. Akerele-Popoola, Tope Israel Ibiwoye, Abiola Folakemi Olaniran

Journal of Agriculture and Food Research. 202312 CitationsOPEN ACCESS

Related on ScholarIQ

Recognition of early blight and late blight diseases on potato leaves based on graph cut segmentation

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Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification

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Free radical-scavenging capacity and HPLC-DAD screening of phenolic compounds from pulp and seed of Syzygium claviflorum fruit

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Impact of crop management practices on maize yield: Insights from farming in tropical regions and predictive modeling using machine learning

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Perspectives on communicating 21st-Century agricultural innovations to Nigerian rural farmers

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A methodical analysis of deep learning techniques for detecting Indian lentils

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