Crop Identification with Monte Carlo Simulations and Rotation Models from Sentinel-2 Data
Crop rotation is a well-established practice that helps reduce nutrient depletion and pressure from pests and weeds. At the same time, the use of artificial intelligence tools to recognize crops from satellite multispectral imagery is gaining momentum as a first step toward automated agricultural mo...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2025-08-01
|
| سلاسل: | AgriEngineering |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2624-7402/7/8/259 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|