ReviewEnvironmental science and pollution research international2020
A review: application of remote sensing as a promising strategy for insect pests and diseases management.
Review in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 165 citations in OpenAlex.
- Defense of locust eggs against Metarhizium anisopliae invasion.Pest management science · 2026Article
- Comparative Evaluation of the Effectiveness and Efficiency of Computational Methods in the Detection of Asbestos Cement in Hyperspectral Images.Materials (Basel, Switzerland) · 2025Article
- Fisher-Shannon Analysis of Sentinel 1 Time Series from 2015 to 2023: Revealing the Impact ofEntropy (Basel, Switzerland) · 2025Article
- Application of UAV remote sensing for vegetation identification: a review and meta-analysis.Frontiers in plant science · 2025Review
- Integrating climate-smart practices in forestry: insights from Europe and America.Frontiers in plant science · 2025Review
- Review
- Developing a New Method of Transformation for Obtaining XYZ Color Values from RGB Images for Agricultural Applications.Sensors (Basel, Switzerland) · 2024Article
- Harmonic radar suggests greater impact of light pollution for nocturnal insects.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Revisiting the Role of Sensors for Shaping Plant Research: Applications and Future Perspectives.Sensors (Basel, Switzerland) · 2024Review
- Analysis of Dieback in a Coastal Pinewood in Campania, Southern Italy, through High-Resolution Remote Sensing.Plants (Basel, Switzerland) · 2024Article
- Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection.Frontiers in plant science · 2024Review
- Effects of feeding injury fromFrontiers in insect science · 2022Article
- An intelligent monitoring system of diseases and pests on rice canopy.Frontiers in plant science · 2022Article
- Improved CNN Method for Crop Pest Identification Based on Transfer Learning.Computational intelligence and neuroscience · 2022Article
- UV Hyperspectral Imaging as Process Analytical Tool for the Characterization of Oxide Layers and Copper States on Direct Bonded Copper.Sensors (Basel, Switzerland) · 2021Article
- Characterization of Pharmaceutical Tablets Using UV Hyperspectral Imaging as a Rapid In-Line Analysis Tool.Sensors (Basel, Switzerland) · 2021Article
- Review
- A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques.Sensors (Basel, Switzerland) · 2021Review
- Fluorescence-Based Sensing of Pesticides Using Supramolecular Chemistry.Frontiers in chemistry · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present review provides a perspective angle on the historical and cutting-edge strategies of remote sensing techniques and its applications, especially for insect pest and plant disease management. Remote sensing depends on measuring, recording, and processing the electromagnetic radiation reflected and emitted from the ground target. Remote sensing applications depend on the spectral behavior of living organisms. Today, remote sensing is used as an effective tool for the detection, forecasting, and management of insect pests and plant diseases on different fruit orchards and crops. The main objectives of these applications were to collate data that help in decision-making for insect pest management and decreasing the environmental pollution of chemical pesticides. Airborne remote sensing has been a promising and useful tool for insect pest management and weed detection. Furthermore, remote sensing using satellite information proved to be a promising tool in forecasting and monitoring the distribution of locust species. It has also been used to help farmers in the early detection of mite infestation in cotton fields using multi-spectral systems, which depend on color changes in canopy semblance over time. Remote sensing can provide fast and accurate forecasting of targeted insect pests and subsequently minimizing pest damage and the management costs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.