Artificial intelligence approaches to predict growth, harvest day, and quality of lettuce(Lactuca sativa L.) in a IoT-enabled greenhouse system
Artificial intelligence approaches to predict growth, harvest day, and quality of lettuce(Lactuca sativa L.) in a IoT-enabled greenhouse system
Professor
7586/7718(L)
chungliang at mail dot npust dot edu dot tw
| Year | 2021 |
| Author | 張仲良*, , , |
| Author count | 4 |
| Created date | 2021-10-27 |
| Author order | 第一作者 |
| Corresponding author | 是 |
| Publication year | 2021 |
| Publication month | 12 |
| Journal name | Biosystems Engineering |
| Journal sponsor | Elsevier |
| Publication area | 荷蘭王國 |
| Volume | 212 |
| Issue | 0 |
| Start page | 77 |
| End page | 105 |
| Publication type | |
| Review system | 是 |
| Language | Foreign Language |
| Attached project | MOST 108-2321-B-020-003; MOST 109-2321-B-020-004; 109AS-11.3.2-ST-a5 |