From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges
The three previous industrial revolutions profoundly transformed agriculture industry from
indigenous farming to mechanized farming and recent precision agriculture. Industrial …
indigenous farming to mechanized farming and recent precision agriculture. Industrial …
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 comprehensive review of coverage path planning in robotics using classical and heuristic algorithms
CS Tan, R Mohd-Mokhtar, MR Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
A review on multirobot systems in agriculture
Agricultural multirobot systems (MRSs) are expected to be essential in future agriculture.
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …
Uncertainty guided policy for active robotic 3d reconstruction using neural radiance fields
In this letter, we tackle the problem of active robotic 3D reconstruction of an object. In
particular, we study how a mobile robot with an arm-held camera can select a favorable …
particular, we study how a mobile robot with an arm-held camera can select a favorable …
Recognition of bloom/yield in crop images using deep learning models for smart agriculture: A review
B Darwin, P Dharmaraj, S Prince, DE Popescu… - Agronomy, 2021 - mdpi.com
Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …
deposits in a diverse environment. The yield of a crop may vary from year to year depending …
Deep learning: As the new frontier in high-throughput plant phenotyping
S Arya, KS Sandhu, J Singh, S Kumar - Euphytica, 2022 - Springer
With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …
development needs to be accelerated in order to feed a population of 10 billion by 2050 …
Robotic technologies for high-throughput plant phenotyping: Contemporary reviews and future perspectives
Phenotyping plants is an essential component of any effort to develop new crop varieties. As
plant breeders seek to increase crop productivity and produce more food for the future, the …
plant breeders seek to increase crop productivity and produce more food for the future, the …
Image-based plant disease identification by deep learning meta-architectures
The identification of plant disease is an imperative part of crop monitoring systems.
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …
A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
This article is about deep learning (DL) and deep reinforcement learning (DRL) works
applied to robotics. Both tools have been shown to be successful in delivering data-driven …
applied to robotics. Both tools have been shown to be successful in delivering data-driven …