Automation in agriculture by machine and deep learning techniques: A review of recent developments
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
A survey of public datasets for computer vision tasks in precision agriculture
Computer vision technologies have attracted significant interest in precision agriculture in
recent years. At the core of robotics and artificial intelligence, computer vision enables …
recent years. At the core of robotics and artificial intelligence, computer vision enables …
A review of deep learning in multiscale agricultural sensing
Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …
increasing pressure on global agricultural production. The challenge of increasing crop yield …
[HTML][HTML] Rebound effects in agricultural land and soil management: Review and analytical framework
Increasing the efficiency of production is the basis for decoupling economic growth from
resource consumption. In agriculture, more efficient use of natural resources is at the heart of …
resource consumption. In agriculture, more efficient use of natural resources is at the heart of …
Late fusion of multimodal deep neural networks for weeds classification
In agriculture, many types of weeds have a harmful impact on agricultural productivity.
Recognizing weeds and understanding the threat they pose to farmlands is a significant …
Recognizing weeds and understanding the threat they pose to farmlands is a significant …
Automated crop plant detection based on the fusion of color and depth images for robotic weed control
Robotic weeding enables weed control near or within crop rows automatically, precisely and
effectively. A computer‐vision system was developed for detecting crop plants at different …
effectively. A computer‐vision system was developed for detecting crop plants at different …
Weed identification in maize, sunflower, and potatoes with the aid of convolutional neural networks
The increasing public concern about food security and the stricter rules applied worldwide
concerning herbicide use in the agri-food chain, reduce consumer acceptance of chemical …
concerning herbicide use in the agri-food chain, reduce consumer acceptance of chemical …
A survey of deep learning-based object detection methods in crop counting
Y Huang, Y Qian, H Wei, Y Lu, B Ling, Y Qin - Computers and Electronics in …, 2023 - Elsevier
Crop counting is a crucial step in crop yield estimation. By counting, crop growth status can
be accurately detected and adjusted, improving crop yield and quality. In recent years, with …
be accurately detected and adjusted, improving crop yield and quality. In recent years, with …
AgroAVNET for crops and weeds classification: A step forward in automatic farming
Convolutional Neural networks have endeavored to solve various problems in different
fields such as industries, medication, automation, etc. Among these areas, automatic farming …
fields such as industries, medication, automation, etc. Among these areas, automatic farming …
The use of agricultural robots in weed management and control
Chapter 8 Page 1 http://dx.doi.org/10.19103/AS.2019.0056.13 © Burleigh Dodds Science
Publishing Limited, 2019. All rights reserved. Chapter 8 The use of agricultural robots in …
Publishing Limited, 2019. All rights reserved. Chapter 8 The use of agricultural robots in …