Special Issue "Smart Agriculture Sensors"
Deadline for manuscript submissions: closed (20 April 2021).
Agriculture 4.0 is a topic that is widely used to define activities related to agriculture and food production where technology plays a fundamental role; data management and the execution of activities is a holistic process based on the accuracy, efficiency, and friendliness of data acquisition. Sensors and all the specific characteristics around them are fundamental elements to this topic, with great influence on the success of the global process. In recent decades, important changes have occurred in the sensor development process. Great accuracy, robustness, broad adaptability to different objectives, allows almost any data acquisition process to be carried out with guaranteed quality. However, the agricultural sector has enormous differences when compared with other activities. Weather conditions, including high temperatures, high sunshine luminosity, vibrations, dust, and other special circumstances, makes the use of sensors in agriculture a great and exciting challenge. From close to remote sensors, light- or sound-based functioning, sophisticated or simple data acquisition processes, from the most popular to the most specific devices, the agricultural sector offers a wide list of potential applications of the latest technologies to improve the food production chain, giving special attention to the primary phase of the chain.
The objective of this Special Issue is to create an updated state-of-the-art concerning the application of the sensor technology adapted for the special circumstances of the agricultural sector. Regarding soil and/or leaf moisture detectors, chlorophyll-measuring devices, canopy detectors, early detection systems for pest/disease evaluation, etc., this Special Issue represents a good opportunity to update the substantial and interesting research activity all around the world. Original contributions related to the described topic are especially encouraged.
Prof. Dr. Emilio Gil
Manuscript Submission Information
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