Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current
context of climate change, which is causing the destabilization of agricultural practices and …
context of climate change, which is causing the destabilization of agricultural practices and …
A survey of internet of things and cyber-physical systems: standards, algorithms, applications, security, challenges, and future directions
KT Chui, BB Gupta, J Liu, V Arya, N Nedjah… - Information, 2023 - mdpi.com
The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …
Methane emissions along biomethane and biogas supply chains are underestimated
Although natural gas generates lower CO 2 emissions, gas extraction, processing, and
distribution all release methane, which has a greater global warming potential than CO 2 …
distribution all release methane, which has a greater global warming potential than CO 2 …
A review on Machine learning aspect in physics and mechanics of glasses
The glass science and technology is a rapidly developing field which is focused on
development of new glasses with excellent properties. Glasses are the non-crystalline …
development of new glasses with excellent properties. Glasses are the non-crystalline …
A review of predictive uncertainty estimation with machine learning
H Tyralis, G Papacharalampous - Artificial Intelligence Review, 2024 - Springer
Predictions and forecasts of machine learning models should take the form of probability
distributions, aiming to increase the quantity of information communicated to end users …
distributions, aiming to increase the quantity of information communicated to end users …
A review of probabilistic forecasting and prediction with machine learning
H Tyralis, G Papacharalampous - arXiv preprint arXiv:2209.08307, 2022 - arxiv.org
Predictions and forecasts of machine learning models should take the form of probability
distributions, aiming to increase the quantity of information communicated to end users …
distributions, aiming to increase the quantity of information communicated to end users …
Application of computational intelligence methods in agricultural soil–machine interaction: A review
C Badgujar, S Das, DM Figueroa, D Flippo - Agriculture, 2023 - mdpi.com
Rapid advancements in technology, particularly in soil tools and agricultural machinery,
have led to the proliferation of mechanized agriculture. The interaction between such …
have led to the proliferation of mechanized agriculture. The interaction between such …
Application of smoothing spline in determining the unmanned ground vehicles route based on ultra-wideband distance measurements
Unmanned ground vehicles (UGVs) are technically complex machines to operate in difficult
or dangerous environmental conditions. In recent years, there has been an increase in …
or dangerous environmental conditions. In recent years, there has been an increase in …
Tree species richness and phytomass carbon stock along the urban-rural gradient in trees outside forests of Kathmandu valley, Nepal
B Shrestha, BK Sharma, CB Baniya… - Arboricultural …, 2024 - Taylor & Francis
Trees outside forests (TOF) are woody plants found on land which is less than 0.5 ha. These
are important for biodiversity conservation and carbon storage. This study was conducted in …
are important for biodiversity conservation and carbon storage. This study was conducted in …
Robust ptychographic X-ray speckle tracking with multilayer Laue lenses
N Ivanov, J Lukas Dresselhaus, J Carnis… - Optics express, 2022 - opg.optica.org
In recent years, X-ray speckle tracking techniques have emerged as viable tools for
wavefront metrology and sample imaging applications, and have been actively developed …
wavefront metrology and sample imaging applications, and have been actively developed …