|
|
|
|
|
Yuto Kamiwaki and Shinji Fukuda
This study aims to clarify the influence of photographic environments under different light sources on image-based SPAD value prediction. The input variables for the SPAD value prediction using Random Forests, XGBoost, and LightGBM were RGB values, HSL v...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyu Yin, Jia Li, Jingyi Wu, Ruihan Cao, Siqian Xin and Jianxu Liu
Geographical indications (GIs) mitigate information asymmetry in agri-food transactions by providing consumers with origin and quality information. This paper explores the impact of GIs on rural development in China by examining agricultural output and f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Catarina Palma, Artur Ferreira and Mário Figueiredo
The presence of malicious software (malware), for example, in Android applications (apps), has harmful or irreparable consequences to the user and/or the device. Despite the protections app stores provide to avoid malware, it keeps growing in sophisticat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Artur Chudzik and Andrzej W. Przybyszewski
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liyuan Zhang, Xiaoying Song, Yaxiao Niu, Huihui Zhang, Aichen Wang, Yaohui Zhu, Xingye Zhu, Liping Chen and Qingzhen Zhu
As prior information for precise nitrogen fertilization management, plant nitrogen content (PNC), which is obtained timely and accurately through a low-cost method, is of great significance for national grain security and sustainable social development. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yadong Li, Rujia Li, Rongbiao Ji, Yehui Wu, Jiaojiao Chen, Mengyao Wu and Jianping Yang
Grain legumes play a significant global role and are integral to agriculture and food production worldwide. Therefore, comprehending and analyzing the factors that influence grain legume yield are of paramount importance for guiding agricultural manageme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lihui Chen, Zhonghua He, Xiaolin Gu, Mingjin Xu, Shan Pan, Hongmei Tan and Shuping Yang
Droughts are becoming more frequent in the karst region of southwest China due to climate change, and accurate monitoring of karst agricultural droughts is crucial. To this end, in this study, based on random forest (RF) and support vector regression (SV...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yves Auda, Erik J. Lundin, Jonas Gustafsson, Oleg S. Pokrovsky, Simon Cazaurang and Laurent Orgogozo
A land cover map of two arctic catchments near the Abisko Scientific Research Station was obtained based on a classification from a Sentinel-2 satellite image and a ground survey performed in July 2022. The two contiguous catchments, Miellajokka and Stor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Patrick Loola Bokonda, Moussa Sidibe, Nissrine Souissi and Khadija Ouazzani-Touhami
COVID-19 has raised the issue of fighting epidemics. We were able to realize that in this fight, countering the spread of the disease was the main goal and we propose to contribute to it. To achieve this, we propose an enriched model of Random Forest (RF...
ver más
|
|
|
|
|
|