The precision application of farming inputs is essential in combating the challenges of modern agricultural production driven by population growth, climate change and resource depletion. This precision-oriented approach seamlessly aligns with diverse sectors, including field crop production, controlled-environment agriculture, specialty crop production, and livestock farming. The remarkable advances in technological development, such as electronics, sensors, computer algorithms/programs, actuators, autonomy, robotics, GPS, GIS, artificial intelligence, internet of things, unmanned ground systems, and unmanned aerial systems, have ushered into an era where intelligent decision-making for precise inputs is more practical and implementable. This, in turn, facilitates the optimization of climate-smart agricultural productivity, environmental well-being, and effective management of natural resources. These technological innovations collectively enable showcasing exemplary practices in agri-food production, making a significant step toward sustainable and efficient agricultural systems.
Precision and smart farming technologies have not been explored to their full potential, especially in harnessing recently innovated technologies such as 3D imaging, advanced remote and proximal sensing essential to map and manage farm operations. These cutting-edge technologies should therefore be further explored and extensively adopted within the realm of precision and smart farming. This way, these can provide invaluable support for cost-effective and eco-friendly management decisions, enabling the agricultural system to achieve optimal yields while upholding principles of economic and ecological sustainability.
We welcome researchers, practitioners, and experts in the field of agriculture to contribute to our upcoming Research Topic, which is dedicated to advancing the frontiers of precision and smart farming. We welcome submissions that explore a range of subtopics within the precision and smart farming domain, with a particular focus on those that extend beyond conventional boundaries of agricultural sensing and imaging.
Topics of interest include, but are not limited to advance computer vision, artificial intelligence technologies, proximal and remote sensing for agriculture, biosensing, internet of sensing, etc. Exploration of cutting-edge sensor technologies and smart devices that contribute to data collection, analysis, and integration within the precision farming framework. Submissions in this area may delve into advancements in wireless sensor networks, edge and cloud computing, hyperspectral imaging, and emerging sensor modalities for comprehensive data acquisition.
This Research Topic places no limitations on the scope of farming systems or geographic regions. We encourage the submission of research that highlights diverse and innovative sensing and imaging technologies considering farming practices, regardless of scale or location.
Keywords:
Precision Agriculture, Smart Farming, Variable Rate Technologies, Advanced Machine Learning, Digital Soil Mapping, Computer Vision, Artificial Intelligence, Deep Learning, Edge Computing, Cloud Computing, Proximal and Remote Sensing, UAV
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The precision application of farming inputs is essential in combating the challenges of modern agricultural production driven by population growth, climate change and resource depletion. This precision-oriented approach seamlessly aligns with diverse sectors, including field crop production, controlled-environment agriculture, specialty crop production, and livestock farming. The remarkable advances in technological development, such as electronics, sensors, computer algorithms/programs, actuators, autonomy, robotics, GPS, GIS, artificial intelligence, internet of things, unmanned ground systems, and unmanned aerial systems, have ushered into an era where intelligent decision-making for precise inputs is more practical and implementable. This, in turn, facilitates the optimization of climate-smart agricultural productivity, environmental well-being, and effective management of natural resources. These technological innovations collectively enable showcasing exemplary practices in agri-food production, making a significant step toward sustainable and efficient agricultural systems.
Precision and smart farming technologies have not been explored to their full potential, especially in harnessing recently innovated technologies such as 3D imaging, advanced remote and proximal sensing essential to map and manage farm operations. These cutting-edge technologies should therefore be further explored and extensively adopted within the realm of precision and smart farming. This way, these can provide invaluable support for cost-effective and eco-friendly management decisions, enabling the agricultural system to achieve optimal yields while upholding principles of economic and ecological sustainability.
We welcome researchers, practitioners, and experts in the field of agriculture to contribute to our upcoming Research Topic, which is dedicated to advancing the frontiers of precision and smart farming. We welcome submissions that explore a range of subtopics within the precision and smart farming domain, with a particular focus on those that extend beyond conventional boundaries of agricultural sensing and imaging.
Topics of interest include, but are not limited to advance computer vision, artificial intelligence technologies, proximal and remote sensing for agriculture, biosensing, internet of sensing, etc. Exploration of cutting-edge sensor technologies and smart devices that contribute to data collection, analysis, and integration within the precision farming framework. Submissions in this area may delve into advancements in wireless sensor networks, edge and cloud computing, hyperspectral imaging, and emerging sensor modalities for comprehensive data acquisition.
This Research Topic places no limitations on the scope of farming systems or geographic regions. We encourage the submission of research that highlights diverse and innovative sensing and imaging technologies considering farming practices, regardless of scale or location.
Keywords:
Precision Agriculture, Smart Farming, Variable Rate Technologies, Advanced Machine Learning, Digital Soil Mapping, Computer Vision, Artificial Intelligence, Deep Learning, Edge Computing, Cloud Computing, Proximal and Remote Sensing, UAV
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.