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Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
Technological revolutions in smart farming: Current trends, challenges & future directions
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
[HTML][HTML] Advances in agriculture robotics: A state-of-the-art review and challenges ahead
The constant advances in agricultural robotics aim to overcome the challenges imposed by
population growth, accelerated urbanization, high competitiveness of high-quality products …
population growth, accelerated urbanization, high competitiveness of high-quality products …
[HTML][HTML] A review of robots, perception, and tasks in precision agriculture
This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …
[HTML][HTML] Agricultural robotics for field operations
Modern agriculture is related to a revolution that occurred in a large group of technologies
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …
Machine learning for smart agriculture and precision farming: towards making the fields talk
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …
data tsunami. In addition, man-to-machine digital data handling has magnified the …
Tomato plant disease classification using multilevel feature fusion with adaptive channel spatial and pixel attention mechanism
Agriculture's productivity has decreased in the last decade due to climate change and
inappropriate usage of water, fertilizer, and pesticides, which stimulate plant diseases. Plant …
inappropriate usage of water, fertilizer, and pesticides, which stimulate plant diseases. Plant …
A deep learning-based approach for banana leaf diseases classification
Plant diseases are important factors as they result in serious reduction in quality and
quantity of agriculture products. Therefore, early detection and diagnosis of these diseases …
quantity of agriculture products. Therefore, early detection and diagnosis of these diseases …
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
One of the major goals of tomorrow's agriculture is to increase agricultural productivity but
above all the quality of production while significantly reducing the use of inputs. Meeting this …
above all the quality of production while significantly reducing the use of inputs. Meeting this …
Agricultural robots for field operations: Concepts and components
A Bechar, C Vigneault - Biosystems engineering, 2016 - Elsevier
This review investigates the research effort, developments and innovation in agricultural
robots for field operations, and the associated concepts, principles, limitations and gaps …
robots for field operations, and the associated concepts, principles, limitations and gaps …