The estimation of wheat tiller number based on UAV images and gradual change features (GCFs).
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 353, doi. 10.1007/s11119-022-09949-5
- By:
- Publication type:
- Article
Works matching IS 13852256 AND DT 2023 AND VI 24 AND IP 1
Results: 18
1
2
A new method based on machine learning to forecast fruit yield using spectrometric data: analysis in a fruit supply chain context.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 326, doi. 10.1007/s11119-022-09947-7
- By:
- Publication type:
- Article
3
Land-forming for irrigation (LFI) on a lowland soil protects rice yields while improving irrigation distribution uniformity.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 310, doi. 10.1007/s11119-022-09946-8
- By:
- Publication type:
- Article
4
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 288, doi. 10.1007/s11119-022-09945-9
- By:
- Publication type:
- Article
5
Efficient tomato harvesting robot based on image processing and deep learning.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 254, doi. 10.1007/s11119-022-09944-w
- By:
- Publication type:
- Article
6
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 235, doi. 10.1007/s11119-022-09941-z
- By:
- Publication type:
- Article
7
Vegetation indices as a Tool for Mapping Sugarcane Management Zones.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 213, doi. 10.1007/s11119-022-09939-7
- By:
- Publication type:
- Article
8
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 187, doi. 10.1007/s11119-022-09938-8
- By:
- Publication type:
- Article
9
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 161, doi. 10.1007/s11119-022-09937-9
- By:
- Publication type:
- Article
10
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 139, doi. 10.1007/s11119-022-09935-x
- By:
- Publication type:
- Article
11
How can precision farming work on a small scale? A systematic literature review.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 384, doi. 10.1007/s11119-022-09934-y
- By:
- Publication type:
- Article
12
Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 114, doi. 10.1007/s11119-022-09933-z
- By:
- Publication type:
- Article
13
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 92, doi. 10.1007/s11119-022-09932-0
- By:
- Publication type:
- Article
14
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 68, doi. 10.1007/s11119-022-09931-1
- By:
- Publication type:
- Article
15
A comparison of precision and conventional irrigation in corn production in Southeast Alabama.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 40, doi. 10.1007/s11119-022-09930-2
- By:
- Publication type:
- Article
16
The need for streamlining precision agriculture data in Africa.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 375, doi. 10.1007/s11119-022-09928-w
- By:
- Publication type:
- Article
17
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 23, doi. 10.1007/s11119-022-09927-x
- By:
- Publication type:
- Article
18
A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties.
- Published in:
- Precision Agriculture, 2023, v. 24, n. 1, p. 1, doi. 10.1007/s11119-022-09926-y
- By:
- Publication type:
- Article