Development of an Intelligent Fertigation Machine and Its Application Test in Soilless Cultivation of Mountain Blueberry
Research Article  ·  Published: 09 November 2026
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Digital Intelligence in Agriculture
Volume 2, Issue 4, 2026: 203-213
Research Article Open Access

Development of an Intelligent Fertigation Machine and Its Application Test in Soilless Cultivation of Mountain Blueberry

1 GourmetMore (Beijing) Technology Co., Ltd., Beijing 100081, China
* Corresponding Author: Chunxiang Yang, [email protected]
Volume 2, Issue 4
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Article Information

Abstract

Conventional manual fertigation practices are generally limited by low control precision, considerable water and fertilizer waste, and poor adaptability to varied horticultural cultivation conditions. These limitations create particularly prominent challenges for high-value cash crops that are highly sensitive to root-zone substrate electrical conductivity (EC) and pH dynamics. To address these gaps, this study developed a digitally intelligent integrated fertigation system that integrates multi-sensor autonomous sensing, precise nutrient ratio regulation, and full-cycle operational monitoring modules. Systematic validation of both equipment performance and field production benefits was carried out via field plot experiments under typical mountainous soilless blueberry cultivation conditions. The test results showed that the developed fertigation system achieved a control uniformity of 95.28% for EC and 95.07% for pH. Under the prerequisite of identical total irrigation volume and total nutrient supply across the whole growing season, the precise control mode (PCM) of the proposed intelligent fertigation system exhibited significantly higher water use efficiency (WUE) and partial factor productivity of fertilizer (PFP) than the conventional simple fertigation management mode (SFM). Meanwhile, the unit-area yield of blueberries in the PCM treatment increased by 20.1%, and the commercial uniformity of individual fruit weight was significantly improved. This fully validated system can well meet the intelligent production requirements of mountainous soilless blueberry cultivation and provides a viable technical solution to support the intelligent upgrading of local soilless blueberry industries in Southwest China.

Graphical Abstract

Development of an Intelligent Fertigation Machine and Its Application Test in Soilless Cultivation of Mountain Blueberry

Keywords

intelligent fertigation machine water-fertilizer integration mountain blueberry soilless cultivation equipment performance evaluation

Data Availability Statement

Data will be made available on request.

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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Cite This Article

APA Style
Yang, C. (2026). Development of an Intelligent Fertigation Machine and Its Application Test in Soilless Cultivation of Mountain Blueberry. Digital Intelligence in Agriculture, 2(4), 203-213. https://doi.org/10.62762/DIA.2026.142287
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TY  - JOUR
AU  - Yang, Chunxiang
PY  - 2026
DA  - 2026/11/09
TI  - Development of an Intelligent Fertigation Machine and Its Application Test in Soilless Cultivation of Mountain Blueberry
JO  - Digital Intelligence in Agriculture
T2  - Digital Intelligence in Agriculture
JF  - Digital Intelligence in Agriculture
VL  - 2
IS  - 4
SP  - 203
EP  - 213
DO  - 10.62762/DIA.2026.142287
UR  - https://www.icck.org/article/abs/dia.2026.142287
KW  - intelligent fertigation machine
KW  - water-fertilizer integration
KW  - mountain blueberry
KW  - soilless cultivation
KW  - equipment performance evaluation
AB  - Conventional manual fertigation practices are generally limited by low control precision, considerable water and fertilizer waste, and poor adaptability to varied horticultural cultivation conditions. These limitations create particularly prominent challenges for high-value cash crops that are highly sensitive to root-zone substrate electrical conductivity (EC) and pH dynamics. To address these gaps, this study developed a digitally intelligent integrated fertigation system that integrates multi-sensor autonomous sensing, precise nutrient ratio regulation, and full-cycle operational monitoring modules. Systematic validation of both equipment performance and field production benefits was carried out via field plot experiments under typical mountainous soilless blueberry cultivation conditions. The test results showed that the developed fertigation system achieved a control uniformity of 95.28% for EC and 95.07% for pH. Under the prerequisite of identical total irrigation volume and total nutrient supply across the whole growing season, the precise control mode (PCM) of the proposed intelligent fertigation system exhibited significantly higher water use efficiency (WUE) and partial factor productivity of fertilizer (PFP) than the conventional simple fertigation management mode (SFM). Meanwhile, the unit-area yield of blueberries in the PCM treatment increased by 20.1%, and the commercial uniformity of individual fruit weight was significantly improved. This fully validated system can well meet the intelligent production requirements of mountainous soilless blueberry cultivation and provides a viable technical solution to support the intelligent upgrading of local soilless blueberry industries in Southwest China.
SN  - 3069-3187
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
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@article{Yang2026Developmen,
  author = {Chunxiang Yang},
  title = {Development of an Intelligent Fertigation Machine and Its Application Test in Soilless Cultivation of Mountain Blueberry},
  journal = {Digital Intelligence in Agriculture},
  year = {2026},
  volume = {2},
  number = {4},
  pages = {203-213},
  doi = {10.62762/DIA.2026.142287},
  url = {https://www.icck.org/article/abs/dia.2026.142287},
  abstract = {Conventional manual fertigation practices are generally limited by low control precision, considerable water and fertilizer waste, and poor adaptability to varied horticultural cultivation conditions. These limitations create particularly prominent challenges for high-value cash crops that are highly sensitive to root-zone substrate electrical conductivity (EC) and pH dynamics. To address these gaps, this study developed a digitally intelligent integrated fertigation system that integrates multi-sensor autonomous sensing, precise nutrient ratio regulation, and full-cycle operational monitoring modules. Systematic validation of both equipment performance and field production benefits was carried out via field plot experiments under typical mountainous soilless blueberry cultivation conditions. The test results showed that the developed fertigation system achieved a control uniformity of 95.28\% for EC and 95.07\% for pH. Under the prerequisite of identical total irrigation volume and total nutrient supply across the whole growing season, the precise control mode (PCM) of the proposed intelligent fertigation system exhibited significantly higher water use efficiency (WUE) and partial factor productivity of fertilizer (PFP) than the conventional simple fertigation management mode (SFM). Meanwhile, the unit-area yield of blueberries in the PCM treatment increased by 20.1\%, and the commercial uniformity of individual fruit weight was significantly improved. This fully validated system can well meet the intelligent production requirements of mountainous soilless blueberry cultivation and provides a viable technical solution to support the intelligent upgrading of local soilless blueberry industries in Southwest China.},
  keywords = {intelligent fertigation machine, water-fertilizer integration, mountain blueberry, soilless cultivation, equipment performance evaluation},
  issn = {3069-3187},
  publisher = {Institute of Central Computation and Knowledge}
}

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