SIMKEF – A decision support system to predict the infestation probability of Drosophila suzukii DOI
Alicia Winkler, Sina Bauer, Jeanette Jung

et al.

Crop Protection, Journal Year: 2024, Volume and Issue: 185, P. 106858 - 106858

Published: Aug. 6, 2024

Language: Английский

Integrated Pest Management: An Update on the Sustainability Approach to Crop Protection DOI Creative Commons
Wentao Zhou, Yashwanth Arcot,

Raul F. Medina

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(40), P. 41130 - 41147

Published: Sept. 28, 2024

Integrated Pest Management (IPM) emerged as a pest control framework promoting sustainable intensification of agriculture, by adopting combined strategy to reduce reliance on chemical pesticides while improving crop productivity and ecosystem health. This critical review synthesizes the most recent advances in IPM research practice, mostly focusing studies published within past five years. The Review discusses key components IPM, including cultural practices, biological control, genetic targeted pesticide application, with particular emphasis significant advancements made delivery systems. Recent findings highlight growing importance conservation which involves management agricultural landscapes promote natural enemy populations. Furthermore, discovery novel biopesticides, microbial agents plant-derived compounds, has expanded arsenal tools available for eco-friendly management. Substantial progress recently also been development systems, such nanoemulsions controlled-release formulations, can minimize environmental impact maintaining their efficacy. analyzes environmental, economic, social dimensions adoption, showcasing its potential biodiversity ensure food safety. Case from various agroecological contexts demonstrate successful implementation programs, highlighting participatory approaches effective knowledge exchange among stakeholders. identifies main challenges opportunities widespread adoption need transdisciplinary research, capacity building, policy support. In conclusion, this essential role achieving it seeks optimize production minimizing adverse impacts enhancing resilience systems global climate change loss.

Language: Английский

Citations

26

IoT-Driven Smart Agricultural Technology for Real-Time Soil and Crop Optimization DOI Creative Commons
Hammad Shahab,

Muhammad Naeem,

Muhammad Iqbal

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100847 - 100847

Published: Feb. 1, 2025

Language: Английский

Citations

2

Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices DOI Creative Commons
Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(3), P. 75 - 75

Published: March 10, 2025

Enhancing agricultural machinery field efficiency offers substantial benefits for farm management by optimizing the available resources, thereby reducing cost, maximizing productivity, and supporting sustainability. Field is influenced several unpredictable stochastic factors that are difficult to determine due inherent variability in configurations operational conditions. This study aimed simplify estimation training machine learning regression algorithms on data generated from a information system covering combination of different areas shapes, working patterns, machine-related parameters. The gradient-boosting regression-based model was most effective, achieving high mean R2 value 0.931 predicting efficiency, taking into account only basic geometric indices. developed showed also strong predictive performance indicative fields located Europe North America, considerably computational time an average 73.4% compared corresponding analytical approach. Overall, results this highlight potential simplifying prediction without requiring detailed knowledge plethora variables associated with operations. can be particularly valuable farmers who need make informed decisions about resource allocation planning.

Language: Английский

Citations

1

Digital Tools and Decision Support Systems in Agroecology: Benefits, Challenges, and Practical Implementations DOI Creative Commons

Dimitra Petraki,

Ioannis Gazoulis,

Metaxia Kokkini

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(1), P. 236 - 236

Published: Jan. 18, 2025

Farmers are increasingly faced with challenges such as climate change, population growth, and the need for sustainable food production, while simultaneously having to address environmental impacts of conventional agriculture. Agroecology has emerged a holistic approach agriculture, integrating environmental, social, economic principles. This study investigates role digital tools, including decision support systems (DSSs), in supporting agroecological transitions. Through literature review analysis case studies, this paper examines benefits associated adoption tools agroecology, highlighting their potential promote practices soil water management, pest control, efficient resource use. The findings indicate that solutions offer significant enhance productivity improve outcomes, remains limited due barriers low literacy, lack infrastructure, concerns about effectiveness real-world farming conditions. Despite these challenges, productivity, farmers’ decision-making. To comprehensively understand benefits, is necessary, combining hands-on training, policy support, ongoing research. highlights explores discusses continued research assess long-term terms transition.

Language: Английский

Citations

0

Assessing human toxicity and ecotoxicity impacts of agricultural pesticide use in Iran based on the USEtox model DOI Creative Commons

Mohammad Paeezi,

Reza Saeedi, Amin Bagheri

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 291, P. 117785 - 117785

Published: Jan. 30, 2025

Language: Английский

Citations

0

Monitoring and Managing Endocrine Disrupter Pesticides (EPDS) for Environmental Sustainability DOI

Vivek Chintada,

K. Veraiah,

Narasimha Golla

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Overcoming Barriers to the Adoption of Decision Support Systems in Integrated Pest Management in Some European Countries DOI Creative Commons
Jurij Marinko, Vladimir Kuzmanovski, Mark Ramsden

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 426 - 426

Published: Feb. 8, 2025

Decision support systems (DSSs) can improve decision making in integrated pest management (IPM), but are still underutilised despite proven environmental and economic benefits. To overcome the barriers to DSS adoption, this study analyses survey data from 31 farmers 94 farm advisors, researchers developers across 11 European countries. Using machine learning techniques, respondents were first categorised into clusters based on their responses questionnaire. The then explained using classification trees. For each cluster, customised approaches proposed adoption. farmers, these include building trust through co-development, offering free trials, organising practical workshops providing clear instructions for use. advisors researchers, involvement development of giving them access information about characteristics is crucial. IPM should focus 14 key recommendations ease use, increase transparency descriptions validation, extend underserved sectors such as viticulture vegetable farming. These aim uptake DSSs ultimately implementation practises help reduce risk use pesticides Europe ever-growing challenges agriculture.

Language: Английский

Citations

0

Fall armyworm threatens Asian rice security: A review of sustainable management strategies DOI
Lekhnath Kafle,

Ravindra Chandra Joshi

CABI Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Abstract Rice ( Oryza sativa L.), a primary staple food for billions of people worldwide, faces growing threat from the invasive fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith), in Asia. Given predominance small-scale farmers Asian rice production, which accounts over two-thirds global output, region is highly vulnerable to FAW infestations. The FAW’s rapid reproduction, extensive dispersal capabilities, and remarkable adaptability pose significant risks, with potential substantial yield losses comparable those observed other crops. Recent reports highlight concerning host shift corn-specialized strain towards cultivation Beyond direct losses, infestations can lead excessive use pesticides, posing serious threats human health environment safety. Effective sustainable management crucial ensuring long-term agricultural sustainability. Control strategies encompass diverse range approaches, including cultural techniques, biological methods, chemical interventions, habitat manipulation. absence varieties resistant underscores urgent need accelerated development through genetic engineering. Cultural control practices, such as staggered planting, deep tillage, crop rotation non-host species, improved field sanitation, effectively reduce populations. While promising, methods like trap cropping push-pull require further validation systems. Biological measures utilize natural predators, big-eyed bugs ground beetles, parasitoids Telenomus remus Campoletis sonorensis . Additionally, entomopathogenic agents Metarhizium rileyi , Bacillus thuringiensis (Bt), Beauveria bassiana offer environmentally alternatives insecticides. synthetic insecticides remain an essential component management, increasing prevalence pesticide resistance associated economic necessitate eco-friendly solutions. multiple insecticide classes robust strategies. This review emphasizes critical role integrated pest (IPM) combating Asia, advocating balanced approach that prioritises control, effective judicious insecticides, mitigate damage ensure security region.

Language: Английский

Citations

0

Grape Disease Detection Using Transformer-Based Integration of Vision and Environmental Sensing DOI Creative Commons
Weixia Li,

Bingkun Zhou,

Yunsong Zhou

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 831 - 831

Published: March 27, 2025

This study proposes a novel Transformer-based multimodal fusion framework for grape disease detection, integrating RGB images, hyperspectral data, and environmental sensor readings. Unlike traditional single-modal approaches, the proposed method leverages architecture to effectively capture spatial, spectral, dependencies, improving detection accuracy under varying conditions. A comprehensive dataset was collected, incorporating diverse lighting, humidity, temperature conditions, enabling robust performance evaluation. Experimental results demonstrate that outperforms state-of-the-art (SOTA) models, achieving an mAP@50 of 0.94, mAP@75 0.93, Precision Recall 0.95, surpassing leading baselines. The confirm integration information significantly enhances robustness generalization, offering promising solution real-world vineyard management.

Language: Английский

Citations

0

Advanced Strategies for Crop Improvement Against Abiotic Stresses: An Integrated View from Breeding to Genomics DOI

Jayanth Kallugudi,

Charu Lata,

R. Thribhuvan

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0