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 …
Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods
L He, W Fang, G Zhao, Z Wu, L Fu, R Li… - … and Electronics in …, 2022 - Elsevier
Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …
benefit evaluation, management mode adjustment and so on. However, traditional manual …
Fruit detection and recognition based on deep learning for automatic harvesting: An overview and review
F Xiao, H Wang, Y Xu, R Zhang - Agronomy, 2023 - mdpi.com
Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …
[PDF][PDF] 基于视觉的采摘机器人目标识别与定位方法研究综述
郑太雄， 江明哲， 冯明驰 - 仪器仪表学报, 2021 - emt.cnjournals.com
目标识别和定位的精度直接关系到采摘机器人采摘效率, 质量和速度. 本文对近年来采摘机器人
的目标识别和三维定位的研究工作进行了系统性的总结和分析, 综述了果蔬识别和定位的几种 …
的目标识别和三维定位的研究工作进行了系统性的总结和分析, 综述了果蔬识别和定位的几种 …
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 …
The structural basis of hyperpromiscuity in a core combinatorial network of type II toxin–antitoxin and related phage defense systems
Toxin-antitoxin (TA) systems are a large group of small genetic modules found in
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …
Computer vision and deep learning for precision viticulture
During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …
viticulturists solve their problems, primarily those linked to yield estimation of their crops …
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture
Automatic yield monitoring and in-field robotic harvesting by low-cost cameras require object
detection and segmentation solutions to tackle the poor quality of natural images and the …
detection and segmentation solutions to tackle the poor quality of natural images and the …
Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review
The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …
to increase agriculture production while reducing the amount of human labor. In agriculture …
[HTML][HTML] Deep learning and computer vision for assessing the number of actual berries in commercial vineyards
The number of berries is one of the most relevant yield components that drives grape
production in viticulture. The goal of this work was to estimate the number of actual berries …
production in viticulture. The goal of this work was to estimate the number of actual berries …