# Artificial Intelligence Approach for Tomato Detection and Mass Estimation in Precision Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-approach-for-tomato-detection-and-mass-estimation-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jae-Su Lee,Haseeb Nazki,Jeonghyun Baek,Youngsin Hong,Meonghun Lee |
| Citations | 84 |
| DOI | 10.3390/su12219138 |
| Fields | Agricultural and Biological Sciences,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2071-1050/12/21/9138/pdf?version=1604403825 |
| OpenAlex ID | https://openalex.org/W3097182928 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Haseeb Nazki](https://scholariq.org/researchers/haseeb-nazki/)

## Paper journal

- [Sustainability](https://scholariq.org/journals/sustainability/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.