Next Article in Journal
Inductive Effect of Exogenous Abscisic Acid on the Weed-Suppressive Activity of Allelopathic and Non-Allelopathic Rice Accessions at the Root Level
Previous Article in Journal
Genome-Wide Analysis of Potato CCT Family Genes and Its Response to Auxin Substances
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Pesticides Risk Assessment Review: Status, Modeling Approaches, and Future Perspectives

College of Agriculture, Environment and Nutrition Sciences, Tuskegee University, Tuskegee, AL 36088, USA
*
Author to whom correspondence should be addressed.
Agronomy 2024, 14(10), 2299; https://doi.org/10.3390/agronomy14102299 (registering DOI)
Submission received: 16 August 2024 / Revised: 24 September 2024 / Accepted: 3 October 2024 / Published: 6 October 2024
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)

Abstract

Pesticide exposure poses significant environmental and human health concerns, particularly given its extensive use in agricultural activities. The assessment of pesticide risks is a multifaceted and resource-intensive process, often requiring time-consuming toxicity studies. In response to this challenge, advanced computational models, remote sensing, and GIS (geographic information systems) have emerged as efficient and precise tools for evaluating pesticide exposure risks. This comprehensive review aims to provide an in-depth examination of the latest research methodologies for assessing the risks associated with pesticide exposure and their practical applications. These methodologies encompass the assessment of pesticide exposure in air, soil, and water, offering a comprehensive understanding of potential environmental pathways. The paper also delves into the effective utilization of these tools for pesticide risk assessment and examines the potential implications of their findings. The approaches outlined in this review hold promise for a thorough and insightful assessment of pesticide risks and are positioned to equip researchers and policymakers with valuable knowledge to mitigate the impacts of pesticide exposure on human health and the environment.
Keywords: pesticides risk assessment; pesticides drift; modeling approaches; remote sensing; geographic information systems (GIS) pesticides risk assessment; pesticides drift; modeling approaches; remote sensing; geographic information systems (GIS)

Share and Cite

MDPI and ACS Style

Afandi, G.E.; Irfan, M. Pesticides Risk Assessment Review: Status, Modeling Approaches, and Future Perspectives. Agronomy 2024, 14, 2299. https://doi.org/10.3390/agronomy14102299

AMA Style

Afandi GE, Irfan M. Pesticides Risk Assessment Review: Status, Modeling Approaches, and Future Perspectives. Agronomy. 2024; 14(10):2299. https://doi.org/10.3390/agronomy14102299

Chicago/Turabian Style

Afandi, Gamal El, and Muhammad Irfan. 2024. "Pesticides Risk Assessment Review: Status, Modeling Approaches, and Future Perspectives" Agronomy 14, no. 10: 2299. https://doi.org/10.3390/agronomy14102299

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop