IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

Automation in agriculture by machine and deep learning techniques: A review of recent developments

MH Saleem, J Potgieter, KM Arif - Precision Agriculture, 2021 - Springer
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

[HTML][HTML] High-throughput phenoty**: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenoty** has become the bottleneck restricting crop breeding. Breaking through this …

Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review

L Fu, F Gao, J Wu, R Li, M Karkee, Q Zhang - Computers and Electronics in …, 2020 - Elsevier
Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield map** and automated harvesting. However, to perform …

Computer vision and machine learning applied in the mushroom industry: A critical review

H Yin, W Yi, D Hu - Computers and electronics in agriculture, 2022 - Elsevier
Background Mushrooms are popular food items containing numerous vitamins, dietary
fibers, and a large number of proteins. As a result, mushrooms can increase the body's …

Row detection BASED navigation and guidance for agricultural robots and autonomous vehicles in row-crop fields: Methods and applications

J Shi, Y Bai, Z Diao, J Zhou, X Yao, B Zhang - Agronomy, 2023 - mdpi.com
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 …

[HTML][HTML] Internet of robotic things in smart domains: Applications and challenges

L Romeo, A Petitti, R Marani, A Milella - Sensors, 2020 - mdpi.com
With the advent of the Fourth Industrial Revolution, Internet of Things (IoT) and robotic
systems are closely cooperating, resha** their relations and managing to develop new …

Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry

J Gené-Mola, R Sanz-Cortiella, JR Rosell-Polo… - … and Electronics in …, 2020 - Elsevier
The development of remote fruit detection systems able to identify and 3D locate fruits
provides opportunities to improve the efficiency of agriculture management. Most of the …

Smart farming becomes even smarter with deep learning—a bibliographical analysis

Z Ünal - IEEE access, 2020 - ieeexplore.ieee.org
Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

Detection of fruit-bearing branches and localization of litchi clusters for vision-based harvesting robots

J Li, Y Tang, X Zou, G Lin, H Wang - IEEE access, 2020 - ieeexplore.ieee.org
Litchi clusters in fruit groves are randomly scattered and occur irregularly, so it is difficult to
detect and locate the fruit-bearing branches of multiple litchi clusters at one time. This is a …