Journal of Sensors

Advanced Sensor Technologies in Agricultural, Environmental, and Ecological Engineering 2021


Publishing date
01 Dec 2022
Status
Published
Submission deadline
15 Jul 2022

Lead Editor

1Shaanxi Normal University, Xi'an, China

2Shanxi University of Finance and Economics, Taiyuan, China

3South China Botanical Garden, CAS, Guangzhou, China

4University of Birmingham, Birmingham, UK


Advanced Sensor Technologies in Agricultural, Environmental, and Ecological Engineering 2021

Description

The continuous advancements in design, performance, and application of sensors and sensing systems have a strong impact on agricultural, environmental, and ecological engineering. The applications of sensors range from fine scales on a process of a plant cell to large scales such as the global remote sensing survey of agriculture, grassland, and forests. In recent years, manufacturers of agricultural, environmental and ecological machinery have been incorporating an increasing amount of advanced sensor technology into their precision farming and environmental equipment, such as portable photosynthesis systems, soil carbon flux monitoring, time domain reflectometry, and soil salinity monitoring.

In recent years, the applications of sensors in agricultural, environmental, and ecological engineering have been greatly improved. For example, sensors in portable photosynthesis systems are widely used for analyzing photosynthesis and related mechanisms. These practices can be very useful in monitoring a range of plants under various conditions, such as biotic or abiotic stress, base manure, density, temperature, light, moisture, and nutrient availability. Nevertheless, the study of the applications of sensors in agricultural, environmental, and ecological engineering is relatively weak. Strengthening these studies will inevitably lead to a revolution in these fields.

This Special Issue will emphasize the practical applications of sensors in each area of agricultural, environmental, and ecological engineering. High quality research papers dealing with any aspect of agricultural, environmental, and ecological monitoring are encouraged. Preference is given to papers from experimental and observational research at the field, system, or landscape level, from studies that enhance our understanding of sensors and applications of agricultural, environmental, and ecological monitoring, and papers that bridge scientific disciplines and integrate knowledge. Observing and evaluating the agricultural, environmental, and ecological quality by using remote sensing technology are also of interest for this Issue. It will examine various sensors to estimate exposure at both the individual and population levels and also focuses on the development of sensors related to the management of various renewable natural resources in, for instance, agriculture, grassland, and forests. This Special Issue will consider original research and review articles reporting theoretical, simulation, or experimental studies related to monitoring and landscape-level observation by using remote sensing technologies.

Potential topics include but are not limited to the following:

  • Sensors and applications in farming practices
  • Sensors and applications in plant growth, development and stored
  • Crop growth estimation using optical remote sensing data
  • The response of animals, plants, and microorganisms to environmental changes, observed, recorded, or monitored by sensor technologies
  • Sensors and applications in natural environments, including land, air, and water (including stream, river, reservoir, wetland, and sea)
  • Sensors and applications in agricultural, environmental, and ecological engineering from both field and laboratory
  • Sensors and applications in molecular biology
  • Sensors and applications in metabolite detection
  • Global and regional observations on the earth’s environment (such as the carbon cycle, urban heat island effect, urban land cover, etc.) and the resulting technical challenges
  • Environmental monitoring, modelling, and impact analysis

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9763967
  • - Retraction

Retracted: Development and Performance Evaluation of Digital Technology and Radio and Television Integration Based on Big Data Model

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9756749
  • - Retraction

Retracted: Intelligent Financial Data Analysis and Decision Management Based on Edge Computing

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9840685
  • - Retraction

Retracted: Effects of Different Soil Modifiers on Salt Improvement and Distribution, Crop Growth of the Gully Land Consolidation on Loess Plateau

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9846046
  • - Retraction

Retracted: Correlation Analysis between Tourism and Economic Growth Based on Computable General Equilibrium Model (CGE)

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9869276
  • - Retraction

Retracted: Credibility Analysis of Accounting Cloud Service Based on Complex Network

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9860286
  • - Retraction

Retracted: Mixture of Gaussian Processes Based on Bayesian Optimization

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9851520
  • - Retraction

Retracted: Data Analysis and Optimization of Youth Physical Fitness Training Based on Deep Learning

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9818617
  • - Retraction

Retracted: Scene Classification Using Deep Networks Combined with Visual Attention

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9825094
  • - Retraction

Retracted: Analysis of Key Factors of College Students’ Ideological and Political Education Based on Complex Network

Journal of Sensors
  • Special Issue
  • - Volume 2023
  • - Article ID 9806750
  • - Retraction

Retracted: Analysis of College Students’ Ideological and Political Dynamics and Communication Path Based on Reinforcement Learning

Journal of Sensors
Journal of Sensors
 Journal metrics
See full report
Acceptance rate12%
Submission to final decision140 days
Acceptance to publication27 days
CiteScore2.600
Journal Citation Indicator0.440
Impact Factor1.9
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