Review Article
Open Access
Application Patterns and Challenges of Smart Agriculture Technologies Across the Mango Value Chain
1
GourmetMore (Beijing) Technology Co., Ltd., Beijing 100081, China
* Corresponding Author:
Chunxiang Yang,
[email protected]
Volume 2, Issue 2
2026
Received: 08 May 2026
Accepted: 14 June 2026
Published: 17 June 2026
Article Information
Abstract
As a pivotal tropical fruit crop in China, the mango (Mangifera indica L.) industry plays a strategic role in advancing agricultural modernization and augmenting rural incomes. However, the traditional mango value chain faces bottlenecks such as resource inefficiency, information asymmetry, and weak market resilience. Driven by the rapid evolution of next-generation information technologies—specifically the Internet of Things (IoT), big data, artificial intelligence (AI), and blockchain—smart agricultural technologies are profoundly reshaping the production, processing, and marketing paradigms of the industry. This paper systematically investigates the application patterns and challenges of smart agricultural technologies across the entire mango industry chain, covering pre-harvest cultivation, post-harvest handling, processing, and marketing. This study aims to provide theoretical insights and practical pathways for overcoming these hurdles, facilitating the high-quality, sustainable development of China’s mango industry.
Graphical Abstract
Keywords
smart agriculture
mango industry chain
Internet of Things
precision agriculture
intelligent processing
blockchain-based traceability
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
Chunxiang Yang is affiliated with the GourmetMore (Beijing) Technology Co., Ltd., Beijing 100081, China. The author declares that this affiliation had no influence on the study design, data collection, analysis, interpretation, or the decision to publish, and that no other competing interests exist.
AI Use Statement
The author declares that no generative AI was used in the preparation of this manuscript.
Ethical Approval and Consent to Participate
Not applicable.
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APA Style
Yang, C. (2026). Application Patterns and Challenges of Smart Agriculture Technologies Across the Mango Value Chain. Digital Intelligence in Agriculture, 2(2), 79-87. https://doi.org/10.62762/DIA.2026.311342
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TY - JOUR AU - Yang, Chunxiang PY - 2026 DA - 2026/06/17 TI - Application Patterns and Challenges of Smart Agriculture Technologies Across the Mango Value Chain JO - Digital Intelligence in Agriculture T2 - Digital Intelligence in Agriculture JF - Digital Intelligence in Agriculture VL - 2 IS - 2 SP - 79 EP - 87 DO - 10.62762/DIA.2026.311342 UR - https://www.icck.org/article/abs/DIA.2026.311342 KW - smart agriculture KW - mango industry chain KW - Internet of Things KW - precision agriculture KW - intelligent processing KW - blockchain-based traceability AB - As a pivotal tropical fruit crop in China, the mango (Mangifera indica L.) industry plays a strategic role in advancing agricultural modernization and augmenting rural incomes. However, the traditional mango value chain faces bottlenecks such as resource inefficiency, information asymmetry, and weak market resilience. Driven by the rapid evolution of next-generation information technologies—specifically the Internet of Things (IoT), big data, artificial intelligence (AI), and blockchain—smart agricultural technologies are profoundly reshaping the production, processing, and marketing paradigms of the industry. This paper systematically investigates the application patterns and challenges of smart agricultural technologies across the entire mango industry chain, covering pre-harvest cultivation, post-harvest handling, processing, and marketing. This study aims to provide theoretical insights and practical pathways for overcoming these hurdles, facilitating the high-quality, sustainable development of China’s mango industry. SN - 3069-3187 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Yang2026Applicatio,
author = {Chunxiang Yang},
title = {Application Patterns and Challenges of Smart Agriculture Technologies Across the Mango Value Chain},
journal = {Digital Intelligence in Agriculture},
year = {2026},
volume = {2},
number = {2},
pages = {79-87},
doi = {10.62762/DIA.2026.311342},
url = {https://www.icck.org/article/abs/DIA.2026.311342},
abstract = {As a pivotal tropical fruit crop in China, the mango (Mangifera indica L.) industry plays a strategic role in advancing agricultural modernization and augmenting rural incomes. However, the traditional mango value chain faces bottlenecks such as resource inefficiency, information asymmetry, and weak market resilience. Driven by the rapid evolution of next-generation information technologies—specifically the Internet of Things (IoT), big data, artificial intelligence (AI), and blockchain—smart agricultural technologies are profoundly reshaping the production, processing, and marketing paradigms of the industry. This paper systematically investigates the application patterns and challenges of smart agricultural technologies across the entire mango industry chain, covering pre-harvest cultivation, post-harvest handling, processing, and marketing. This study aims to provide theoretical insights and practical pathways for overcoming these hurdles, facilitating the high-quality, sustainable development of China’s mango industry.},
keywords = {smart agriculture, mango industry chain, Internet of Things, precision agriculture, intelligent processing, blockchain-based traceability},
issn = {3069-3187},
publisher = {Institute of Central Computation and Knowledge}
}
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