Novel Approaches for Sensing Techniques
A special issue of AgriEngineering (ISSN 2624-7402).
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 511
Special Issue Editors
Interests: data analysis; image processing; machine learning; high-throughput phenotyping; smart horticulture lighting
Interests: precision irrigation; precision agriculture; data analysis; image processing; machine learning
Special Issue Information
Dear Colleagues,
In recent years, innovative sensing techniques have been adopted as methods to detect plant responses. These approaches can significantly improve phenotyping efforts and have an impact on plant breeding as well as precision agriculture. Recent efforts in novel approaches have focused on enhancing the techniques and automating the process using statistics, data analysis, image processing, and artificial intelligence. This Special Issue aims at representing all stages of the approaches, from the fundamentals of sensing to novel applications for agricultural purposes.
The use of technology in agriculture can solve the problem of increased demand for food production and reduce the environmental and social impact of the processes. However, adoption of the technology is subjected to the precision and accuracy of measurements and costs involved. The goal of novel approaches is to improve the methods of data collection, data analysis, and interpretation of the results. For this reason, this Special Issue focuses on novel approaches that can lead to increased precision and accuracy of decisions applied in fields or labs and the productivity of the adopted technology.
Agricultural automation engineering is an industry-wide solution for expanded global crop production. Sensing technology is a prominent factor in agricultural engineering progress because it allows for greater efficiency, reliability, and speed in a range of tasks related to agriculture from planting through processing. Smart machinery must have the capacity to analyze plant responses to different elements to successfully complete agricultural management tasks. Hence, sensors are an essential component of the automated agriculture processes.
This Special Issue is focused on the development in the field of novel sensing techniques and the advancement of this exciting and rapidly improving field. We proudly invite the community of scholars to submit their research from across the spectrum of novel sensing techniques in the area of agriculture, plant science, and breeding. Contributions could include but are not limited to high-throughput phenotyping, digital agriculture, data science, machine learning, precision irrigation, plant physiology, water management, precision fertilization, robotics, precision agriculture, smart farming, remote or proximal sensing, machine vision, robotics in agriculture, Internet of Things, and smart farming.
Dr. Sanaz Jarolmasjed
Dr. Carlos Zúñiga Espinoza
Guest Editors
Keywords
digital agriculture;precision agriculture; precision irrigation; remote sensing; proximal sensing; high-throughput phenotyping; internet of things (IoT), machine vision; machine learning; deep learning; artificial intelligence; robotics in agriculture
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