A review of the challenges of using deep learning algorithms to support decision-making in agricultural activities
Deep Learning has been successfully applied to image recognition, speech recognition, and
natural language processing in recent years. Therefore, there has been an incentive to …
natural language processing in recent years. Therefore, there has been an incentive to …
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 …
Automatic bunch detection in white grape varieties using YOLOv3, YOLOv4, and YOLOv5 deep learning algorithms
Over the last few years, several Convolutional Neural Networks for object detection have
been proposed, characterised by different accuracy and speed. In viticulture, yield …
been proposed, characterised by different accuracy and speed. In viticulture, yield …
A performance analysis of a litchi picking robot system for actively removing obstructions, using an artificial intelligence algorithm
C Wang, C Li, Q Han, F Wu, X Zou - Agronomy, 2023 - mdpi.com
Litchi is a highly favored fruit with high economic value. Mechanical automation of litchi
picking is a key link for improving the quality and efficiency of litchi harvesting. Our research …
picking is a key link for improving the quality and efficiency of litchi harvesting. Our research …
[HTML][HTML] Simultaneous fruit detection and size estimation using multitask deep neural networks
The measurement of fruit size is of great interest to estimate the yield and predict the harvest
resources in advance. This work proposes a novel technique for in-field apple detection and …
resources in advance. This work proposes a novel technique for in-field apple detection and …
Swin-Transformer-YOLOv5 for real-time wine grape bunch detection
Precise canopy management is critical in vineyards for premium wine production because
maximum crop load does not guarantee the best economic return for wine producers. The …
maximum crop load does not guarantee the best economic return for wine producers. 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 …
Identification and classification of mechanical damage during continuous harvesting of root crops using computer vision methods
A Osipov, V Shumaev, A Ekielski, T Gataullin… - IEEE …, 2022 - ieeexplore.ieee.org
Detecting sugar beetroot crops with mechanical damage using machine learning methods is
necessary for fine-tuning beet harvester units. The Agrifac HEXX TRAXX harvester with an …
necessary for fine-tuning beet harvester units. The Agrifac HEXX TRAXX harvester with an …
Retrieving soil moisture from grape growing areas using multi-feature and stacking-based ensemble learning modeling
S Tao, X Zhang, R Feng, W Qi, Y Wang… - … and Electronics in …, 2023 - Elsevier
Soil moisture (SM) is an essential parameter for crop growth and development, and temporal
and spatial variation in SM in agricultural fields varies by crop type due to corresponding …
and spatial variation in SM in agricultural fields varies by crop type due to corresponding …
[HTML][HTML] Deep learning YOLO-based solution for grape bunch detection and assessment of biophysical lesions
The world wine sector is a multi-billion dollar industry with a wide range of economic
activities. Therefore, it becomes crucial to monitor the grapevine because it allows a more …
activities. Therefore, it becomes crucial to monitor the grapevine because it allows a more …