Remote Sensing Insights: Leveraging Advanced Machine Learning Models and Optimization for Enhanced Accuracy in Precision Agriculture DOI Creative Commons
Youssef N. Altherwy,

Ali Roman,

Syed Rameez Naqvi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 132290 - 132302

Published: Jan. 1, 2024

Language: Английский

Microbial Biostimulants for Improving Crop Nutrition, Health, and Productivity in Climate-Smart Agriculture DOI
Meriam Bouri,

Karama Hadj Taieb,

Parisa Bolouri

et al.

Published: Jan. 1, 2024

In the current age of fast-changing climate, food security is increasingly challenged. Modern agriculture has to boost crop productivity in order meet needs a continuously growing world population while adopting sustainable production systems protect environment and human health. Climate-Smart (CSA) an integrated approach combining several farming methods mitigate adverse climate patterns. Current management strategies by prospecting plant–microbiome interactions biotic abiotic stress alleviation have been adopted CSA. Although plant microbiomes extensively used as biofertilizers/biostimulants biopesticides enhance ameliorate health change context, research trends biotechnology are pointing out some shortcomings be considered. More intensive still needed for better knowledge prevailing within trio plant–microbiome–environment efficiency microbial uses

Language: Английский

Citations

0

Safeguarding Tomato Cultivation: Challenges and Integrated Pest Management Strategies in North India DOI Creative Commons

Harsh Khokhar,

Chitranjan Kumar

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 110, P. 01009 - 01009

Published: Jan. 1, 2024

Tomato (Solanum lycopersicum L.), crucial for global nutritional security, faces pests and diseases, leading to excessive use of chemical pesticides by farmers due climate variability cropping patterns.Integrated pest management (IPM) practices can help reduce over-reliance on align with Good Agriculture Practices (GAP) standards. Understanding the distribution, prevalence, factors influencing insect severity is developing tailored strategies. IPM becoming an emerging sustainable approach management, utilizing viable strategies such as biological control, cultural practices, host plant resistance, mechanical/physical control measures; however, challenges like limited farmer knowledge resources hinder widespread adoption. Climate change extreme weather events are causing significant impacts crop production agricultural pests, particularly in small-scale farms. These changes expand range, increase overwintering survival, risk invasive species diseases. Implementing requires adapting different scales, identifying potential approaches, addressing gaps. Integrated intercropping, cover cropping, legume rotation essential agroecosystems minimizing damage. Opportunities lie digital technologies, precision agriculture, biotechnological innovations, climate-resilient Strengthened training, public-private collaborations, informed decisionmaking IPM’s success.

Language: Английский

Citations

0

Evaluation Analysis of Insect Classification Model in Pest Detection through Grad-CAM Approach to Improve Interpretability DOI Open Access
Denaya Ferrari Noval Agatra

Journal of Intelligent Computing & Health Informatics, Journal Year: 2024, Volume and Issue: 5(1)

Published: April 2, 2024

The article explores the intricate use of technology in agriculture, employing EfficientNet model for pest classification and incorporating Grad-CAM method as an interpretive tool. evaluation encompasses a thorough analysis, including visual examination model. chosen approach involves presenting in-depth assessment reliable insect classification. Grad-CAM, abbreviation Gradient-weighted Class Activation Mapping, is utilized visualization technique, focusing on generating saliency maps to highlight significant areas images influencing model's predictions. EfficientNetV2, evolved version CNN model, demonstrates faster training speed superior parameter efficiency compared its predecessor, EfficientNet. study conducts comprehensive analysis models detection, utilizing techniques architecture EfficientNetV2-L. integrates advantages EfficientNetV2-L, known better efficiency, with implementation technique providing insight into critical In conclusion, research underscores that combining EfficientNetV2-L enhances performance interpretability. integration advanced like offers profound insights understanding models, establishing crucial foundation more effective efficient detection efforts future.

Language: Английский

Citations

0

Climate-Responsive Pest Management Strategies and Challenges DOI

Sana Khan,

Asad Azeem, Zeshan Hassan

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30

Published: June 28, 2024

Global agriculture is facing a severe risk owing to climate change, which bringing about changes in temperature, precipitation patterns, and the frequency of extreme weather events. The dynamics agricultural pests also change quickly along with these environmental conditions, posing serious threats global food security. idea climate-responsive pest management has arisen response this complex interplay, goal creating adaptive solutions that provide resilient sustainable practices while navigating changing environment Therefore, order ensure security sustainability for future generations, sector must negotiate challenges posed by comprehending interaction between implementing climate-smart measures.

Language: Английский

Citations

0

Remote Sensing Insights: Leveraging Advanced Machine Learning Models and Optimization for Enhanced Accuracy in Precision Agriculture DOI Creative Commons
Youssef N. Altherwy,

Ali Roman,

Syed Rameez Naqvi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 132290 - 132302

Published: Jan. 1, 2024

Language: Английский

Citations

0