| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A comparison of precision and conventional irrigation in corn production in Southeast Alabama
|
Bondesan, Luca
|
|
|
24 |
1 |
p. 40-67
|
article
|
| 2 |
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region
|
Gabriel, Andreas
|
|
|
24 |
1 |
p. 68-91
|
article
|
| 3 |
A new method based on machine learning to forecast fruit yield using spectrometric data: analysis in a fruit supply chain context
|
Gómez-Lagos, Javier E.
|
|
|
24 |
1 |
p. 326-352
|
article
|
| 4 |
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network
|
Bhakta, Ishita
|
|
|
24 |
1 |
p. 23-39
|
article
|
| 5 |
A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties
|
Wang, Yongji
|
|
|
24 |
1 |
p. 1-22
|
article
|
| 6 |
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning
|
Morais, Tiago G.
|
|
|
24 |
1 |
p. 161-186
|
article
|
| 7 |
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms
|
Yu, Danyang
|
|
|
24 |
1 |
p. 92-113
|
article
|
| 8 |
Efficient tomato harvesting robot based on image processing and deep learning
|
Miao, Zhonghua
|
|
|
24 |
1 |
p. 254-287
|
article
|
| 9 |
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks
|
Chen, Yiping
|
|
|
24 |
1 |
p. 235-253
|
article
|
| 10 |
How can precision farming work on a small scale? A systematic literature review
|
Mizik, Tamás
|
|
|
24 |
1 |
p. 384-406
|
article
|
| 11 |
Land-forming for irrigation (LFI) on a lowland soil protects rice yields while improving irrigation distribution uniformity
|
Bueno, M.
|
|
|
24 |
1 |
p. 310-325
|
article
|
| 12 |
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model
|
Liu, Tian-Hu
|
|
|
24 |
1 |
p. 139-160
|
article
|
| 13 |
Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model
|
Kimura, Kensuke
|
|
|
24 |
1 |
p. 114-138
|
article
|
| 14 |
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)
|
Liu, Tao
|
|
|
24 |
1 |
p. 353-374
|
article
|
| 15 |
The need for streamlining precision agriculture data in Africa
|
Gobezie, Tegbaru B.
|
|
|
24 |
1 |
p. 375-383
|
article
|
| 16 |
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
|
Fei, Shuaipeng
|
|
|
24 |
1 |
p. 187-212
|
article
|
| 17 |
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils
|
Horf, Michael
|
|
|
24 |
1 |
p. 288-309
|
article
|
| 18 |
Vegetation indices as a Tool for Mapping Sugarcane Management Zones
|
de Oliveira Maia, Felipe Cardoso
|
|
|
24 |
1 |
p. 213-234
|
article
|
Journal description