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 …
[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenoty**: a review
Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …
breeding programs, understanding plant-environment interactions, and managing …
Hybrid deep learning-based models for crop yield prediction
Predicting crop yield is a complex task since it depends on multiple factors. Although many
models have been developed so far in the literature, the performance of current models is …
models have been developed so far in the literature, the performance of current models is …
Intelligent fruit yield estimation for orchards using deep learning based semantic segmentation techniques—a review
Smart farming employs intelligent systems for every domain of agriculture to obtain
sustainable economic growth with the available resources using advanced technologies …
sustainable economic growth with the available resources using advanced technologies …
[HTML][HTML] Fruit sizing using AI: a review of methods and challenges
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
Deep-learning-based counting methods, datasets, and applications in agriculture: A review
The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …
agricultural domain. Automated counting can improve farmers' decisions regarding yield …
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 …
Agi for agriculture
[HTML][HTML] Weakly and semi-supervised detection, segmentation and tracking of table grapes with limited and noisy data
Detection, segmentation and tracking of fruits and vegetables are three fundamental tasks
for precision agriculture, enabling robotic harvesting and yield estimation applications …
for precision agriculture, enabling robotic harvesting and yield estimation applications …