Strategies for Sustainable, Innovative, and AI-Based Crop Pest Management

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Protection and Biotic Interactions".

Deadline for manuscript submissions: 10 June 2026 | Viewed by 690

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Rothamsted Research West Common Harpenden, Hertfordshire AL5 2JQ, UK
Interests: plant–aphid interaction; integrated pest management; herbivorous stress; host plant resistance; chemical ecology
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Special Issue Information

Dear Colleagues,

Ensuring global food security while minimizing the environmental footprint caused by crop protection remains one of the most pressing challenges in agriculture. Conventional pesticide-based approaches, while effective in the short term, raise concerns about the development of resistance, biodiversity loss, ecological imbalance, and human health risks. To address these issues, innovative and sustainable pest management strategies are urgently needed.

This Special Issue of Plants, titled “Strategies for Sustainable, Innovative, and AI-Based Crop Pest Management”, aims to provide a platform for cutting-edge research and comprehensive reviews that highlight new directions in pest control. We welcome the submission of studies that integrate advanced technologies such as artificial intelligence, big data analytics, remote sensing, and decision-support systems with sustainable approaches, including biological control, ecological intensification, and climate-smart agriculture.

Emphasis will be given to contributions that explore the following:

  • Develop AI and machine learning tools for pest detection, monitoring, and prediction;
  • Explore the role of precision agriculture and smart farming in reducing pesticide dependency;
  • Assess the integration of biological, ecological, and cultural practices in crop protection;
  • Investigate the impacts of climate change on pest dynamics and propose adaptive management strategies;
  • Present novel frameworks for sustainable and resilient pest management.

Through this Special Issue, we aim to bridge the gap between traditional pest management practices and emerging digital, ecological, and sustainable paradigms, fostering a holistic understanding of future-ready solutions.

Prof. Dr. Humayun Javed
Guest Editor

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Keywords

  • sustainable crop protection
  • integrated pest management (IPM)
  • biological control and ecological intensification
  • artificial intelligence and machine learning in pest management
  • precision agriculture and smart farming
  • remote sensing and digital monitoring
  • big data and decision-support tools
  • climate-smart pest management
  • pest resistance management
  • agri-innovation for sustainability

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Published Papers (2 papers)

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18 pages, 2939 KB  
Article
Soybean Foliar Deposition and Airflow Distribution Interrelated to Nozzle Type and Boom Travel Direction in Wind Tunnel
by João Paulo Arantes Rodrigues da Cunha, Rone Batista de Oliveira, Gabriel de Souza Lemes, Erdal Ozkan, Hongyoung Jeon and Heping Zhu
Plants 2026, 15(7), 1032; https://doi.org/10.3390/plants15071032 (registering DOI) - 27 Mar 2026
Viewed by 435 | Correction
Abstract
Spray deposition and coverage within soybean canopies remain critical challenges for achieving effective pesticide applications, particularly under windy conditions. This research investigated the influence of wind speed, boom travel direction relative to wind direction, and nozzle type on droplet deposition, coverage uniformity, canopy [...] Read more.
Spray deposition and coverage within soybean canopies remain critical challenges for achieving effective pesticide applications, particularly under windy conditions. This research investigated the influence of wind speed, boom travel direction relative to wind direction, and nozzle type on droplet deposition, coverage uniformity, canopy penetration, and airflow distributions inside soybean canopies under controlled wind-tunnel airflow. Spray deposition, analyzed using a fluorometric tracer, and coverage, quantified with water-sensitive papers, were assessed in R3-stage soybeans in an 18-m wind tunnel using XR (perpendicular spray) and 3D (38° angle) flat fan nozzles under varying air speeds and boom travel directions in the wind tunnel. Potted plants were placed in the wind tunnel to mimic soybeans grown in field conditions. Droplet sizes of the nozzles were measured using a laser imaging particle sizing system. Airflow velocity and turbulence within the soybean canopy were investigated with a 3-D hot-film anemometer system. The results indicated that wind and boom direction were the main influential factors for spray coverage and deposition. The top canopy position, exposed to the highest air-turbulence intensity, received the greatest deposition, whereas the middle and bottom positions, characterized by lower turbulence, exhibited sharp declines in both deposition and coverage regardless of treatment. The 3D nozzle provided greater coverage and deposition than the XR nozzle only under no-wind conditions; however, under wind conditions, equivalent performance was observed from both nozzles. Therefore, it was essential to incorporate wind conditions and canopy structures into consideration when choosing nozzles to maximize spray penetration and achieve efficient and effective spray applications for soybeans. Full article
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1 pages, 173 KB  
Correction
Correction: Cunha et al. Soybean Foliar Deposition and Airflow Distribution Interrelated to Nozzle Type and Boom Travel Direction in Wind Tunnel. Plants 2026, 15, 1032
by João Paulo Arantes Rodrigues da Cunha, Rone Batista de Oliveira, Gabriel de Souza Lemes, Erdal Ozkan, Hongyoung Jeon and Heping Zhu
Plants 2026, 15(9), 1413; https://doi.org/10.3390/plants15091413 (registering DOI) - 6 May 2026
Abstract
Text Correction [...] Full article
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