Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …
prerequisite for the accomplishment of various tasks. However, precision navigation of …
[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
[HTML][HTML] Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
Conventional weed management approaches are inefficient and non-suitable for integration
with smart agricultural machinery. Automatic identification and classification of weeds can …
with smart agricultural machinery. Automatic identification and classification of weeds can …
[HTML][HTML] A systematic review of IoT technologies and their constituents for smart and sustainable agriculture applications
Due to the world's rapid population expansion, the demand for food is anticipated to
increase significantly during the coming decade. Traditional farming practices cannot meet …
increase significantly during the coming decade. Traditional farming practices cannot meet …
[HTML][HTML] A review of climate-smart agriculture: Recent advancements, challenges, and future directions
J Zhao, D Liu, R Huang - Sustainability, 2023 - mdpi.com
Global climate change has posed serious threats to agricultural production. Reducing
greenhouse gas (GHG) emissions and ensuring food security are considered the greatest …
greenhouse gas (GHG) emissions and ensuring food security are considered the greatest …
[HTML][HTML] Artificial intelligence: Implications for the agri-food sector
A Taneja, G Nair, M Joshi, S Sharma, S Sharma… - Agronomy, 2023 - mdpi.com
Artificial intelligence (AI) involves the development of algorithms and computational models
that enable machines to process and analyze large amounts of data, identify patterns and …
that enable machines to process and analyze large amounts of data, identify patterns and …
[HTML][HTML] Row detection BASED navigation and guidance for agricultural robots and autonomous vehicles in row-crop fields: methods and applications
Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …
[HTML][HTML] Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …
[HTML][HTML] High-technology agriculture system to enhance food security: A concept of smart irrigation system using Internet of Things and cloud computing
Context Food security is highly reliant on agricultural activity to drive the world economy.
However, this activity is in great danger due to climatic changes and improper use of …
However, this activity is in great danger due to climatic changes and improper use of …