Smart Agriculture Sensors and Monitoring Systems for Field Detection

Dear Colleagues,

Contemporary precision agriculture and breeding programs involve the evaluation of numerous plots across extensive experimental fields and are limited by the traditional methodologies of crop monitoring that are laborious and time-consuming, sometimes require destructive samplings, or rely on subjective visual samplings. Innovation in terms of smart agriculture systems has emerged as a potential solution to improve the throughput capacity and precision of these standard practices of crop evaluation in large-scale experimental studies. The idea of smart agriculture implies the use of new technologies in order to increase the yields and quality of crops, optimizing resources and reducing environmental impacts. Currently, the implementation of these methodologies encompasses a range of sensors and monitoring devices designed to improve the evaluation of a diversity of aspects as soil health and environmental conditions to the use of proximal remote sensing technology to evaluate plant physiologic and agronomic parameters.

This Special Issue aims to highlight impactful research on how the increasing appearance of new devices could contribute towards better crop management, including from real-time meteorological data, soil health parameters, or in vivo sensors based on the stem or leaves, monitoring physiological changes to proximal remote sensing tools at the leaf, canopy, and UAV scales. This Special Issue welcomes the submission of studies based on precision agriculture and plant phenotyping and which cover a broad range of crops. Moreover, we also encourage studies which focus on exploring synergies between sensors in order to define traits of importance to made agronomic decisions. All types of articles, such as original research, opinions, and reviews, are welcome to be submitted to this Special Issue.

Dr. Adrian Gracia-Romero
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• precision agriculture
• plant phenotyping
• smart agriculture
• sensors
• proximal remote sensing
• UAV