Smart Pest Management in Precision Farming: A Comprehensive Review
Abstract
Precision agriculture has transformed current agricultural techniques by incorporating cutting-edge technology to maximize resource usage, increase crop output, and reduce insect threats. This article delves into the nexus of precision agriculture and pest management, explaining how precise approaches are designed to address pest concerns effectively and sustainably. Precision agriculture takes a multifaceted approach to pest control, using technology and tactics from throughout the agricultural environment. Remote sensing technologies are essential for early pest identification, sensor technologies for real-time field monitoring, and GPS/GIS applications for accurate mapping and focused control methods. The integration of entomological data is critical in precision pest management because it allows for precise pest identification, behaviour monitoring, and predictive modelling, which helps to successfully forecast and prevent pest outbreaks. Automated insect identification technologies, DNA barcoding, and decision support systems allow for proactive pest control tactics adapted to individual pest species and environmental circumstances. Precision pest management'seconomic and environmental consequences highlight its importance in contemporary agriculture, with cost-benefit analyses demonstrating increased efficiency and a lower environmental imprint. To encourage wider use and maximum benefits, specific solutions must address implementation challenges such as technology hurdles and farmer acceptance.
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Introduction
Precision agriculture, also known as precision farming or smart farming, is a kind of agricultural management that uses technology, data, and analytics to improve crop productivity and resource efficiency. Precision agriculture is fundamentally about tailoring agricultural operations to individual field circumstances in order to maximize yields, minimize inputs, and reduce environmental consequences (Bhakta et al., 2019; Monteiro et al., 2021). Pest control is an important part of agricultural production since pests may lower crop output and quality (Dent and Binks, 2020; Stanley et al., 2022). Precision agriculture is important in pest control because it gives farmers tools and procedures for successfully monitoring, detecting, and mitigating pest threats. Precision agriculture uses modern technology such as sensors, drones, and data analytics to allow focused pest management tactics while decreasing pesticide usage and environmental hazards (Shaikh et al., 2022).
Precision agriculture became apparent in the late twentieth century to meet the rising need for more effective and sustainable agricultural techniques (Bongiovanni and Lowenberg-DeBoer, 2004; Mulla, 2013). Initially, precision agriculture emphasized the use of global positioning systems (GPS) for precise field mapping and navigation. Over time, technological improvements like as remote sensing, data analytics, and automation have broadened the scope of precision agriculture and its pest control applications (Sishodia et al., 2020; Roberts et al., 2021). Precision agricultural technologies have grown fast in recent years, because to advances in digitalization, communication, and sensor technology (Khanna and Kaur, 2019). Farmers now have access to a diverse set of precision agricultural equipment and systems aimed at improving pest monitoring, early identification, and management procedures. These technologies have transformed pest control procedures by making them more accurate, efficient, and ecologically friendly (Shafi et al., 2019; Bolfe et al., 2020).
Remote sensing technology, such as satellite imaging and aerial drones, may give significant information on crop health and pest infestations (Zhang et al., 2019; Abd El-Ghany et al., 2020). High-resolution photos taken from above may detect minute changes in vegetation, enabling farmers to spot pest infestations and take appropriate action (Tsouros et al., 2019). Remote sensing offers large-scale agricultural landscape monitoring, allowing for early identification and tailored pest control measures (Weiss et al., 2020; Kumar et al., 2022). Sensor networks installed infields capture real-time information on ambient conditions, soil moisture, temperature, and insect activity (Bencini et al., 2009). Soil moisture sensors, temperature monitors, and insect traps provide continuous monitoring, enabling farmers to notice changes in pest populations and react quickly (Sciarretta and Calabrese, 2019). Sensor-based monitoring systems provide for proactive pest control tactics, minimizing dependency on reactive measures such blanket pesticide treatments (Sangeetha et al., 2024).
Artificial intelligence (AI) approaches are being employed to analyse agricultural data to detect pest outbreak trends (Jose et al., 2021). Machine learning algorithms can forecast pest infestations and offer effective management strategies by analysing historical data on pest occurrences, meteorological conditions, and crop health (Domingues et al., 2022). AI-powered solutions automate pest identification and decision-making, increasing the efficiency and accuracy of pest control techniques (Javaid et al., 2023). Precision agricultural technology have transformed pest management methods by allowing for focused, data-driven approaches to monitoring, identification, and control (Roberts et al., 2021; Liang and Shah, 2023). Farmers may maximize pest control tactics while reducing environmental impact and input costs by using remote sensing, sensor networks, machine learning, and decision support systems. In this post, we'lllook at how precision farming may drive evolutionary change in contemporary agriculture while also improving pest management skills, providing farmers with novel solutions to pest concerns.
Conclusion
Farmers now have access to the resources and methods necessary to handle pest concerns in an efficient and environmentally responsible manner thanks to the emergence of precision agriculture as a transformational approach to pest control. The purpose of this conclusion is to present a review of the most important results, investigate the possibilities for the future of precision agriculture in entomological pest control, and propose suggestions for further study and application.
