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40 articles for “pest control”
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Advancements in Insect Science: Agricultural, Health, and Biotechnological Applications for Sustainability
Abstract: Insect research is very important for solving problems in agriculture, health, industry, and protecting the environment. This article talks about the many uses of entomology and how new study on insects helps with pest control, pollination, disease vector control, and the creation of bioinspired technologies. There is a lot of talk about integrated pest management (IPM) tactics, using insects in forensic investigations, and the new sector of producing insect- based …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 7–14 Read article
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Organic Farming
Abstract: Organic farming is an agricultural production management system that excludes all synthetic off-farm inputs and instead relies on on-farm agronomic, biological, and mechanical practices. This sustainable approach focuses on methods such as crop rotations, the use of crop residues, animal manures, off-farm organic waste, and mineral-grade rock additives to maintain soil fertility and health. Organic farming also employs biological systems for nutrient mobilization and plant protection, reducing or eliminating the …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 1–8 Read article
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Flora Guardian: An Advanced Robotic System for Sustainable Weed Control and Precision Pesticide Application
Abstract: Agricultural systems are under pressure to enhance crop productivity while minimizing environmental damage. Efficient weed control and pesticide application are fundamental for sustainable agriculture, but traditional methods often fall short due to high labor costs and ecological harm. Existing robotic solutions, including drones and multi-legged robots, exhibit significant limitations, such as operational complexity and limited payload capacity. In contrast, Flora Guardian represents a novel approach by combining of weed detection …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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Insect Hymnenopteran Parasitoids of Sugarcane Pest and Role As Biological Control Agents
Abstract: The present study is short communication of insect parasitoids belongs to order Hymenoptera. Sugarcane crop attract number of insect pests that flourish on it, and cause about 15- 20% yield loss and minimize the productivity, this reduction in yield increase when the insect parasitoids attack on pest. There are some major parasitoids Orders that attack on the number of crops pest, like Dipteran, Lepidopterans, Neuropteran etc. and one of the …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 18–21 Read article
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Natural and synthetic pesticide and their effect on life
Abstract: Natural and synthetic pesticides both play roles in pest control but differ significantly in their impact on life and the environment. Natural pesticides, often derived from plants and microorganisms, are biodegradable, eco-friendly, and generally exhibit lower toxicity to non-target organisms and humans. Synthetic pesticides, while highly effective in pest control and used extensively in conventional agriculture, tend to have greater toxicity, persist longer in the environment, and pose more significant …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 8–13 Read article
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Pesticidal Pollution Due to Soybean Farming in Sehore District of Madhya Pradesh
Abstract: Worldwide, agricultural areas, including the Sehore district of Madhya Pradesh, India, are growing concerned about pesticide pollution. This research aims to determine the extent and effect of pesticide pollution around the region's soybean Farming. In the Sehore district, soybean is an important agricultural product and a revenue generator for the Government. Pesticides are used extensively to control pests and illnesses which could harm the soybean farm. The study used various …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 10–15 Read article
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Design and Implementation of Lightweight Polymer-Based Drone System for Targeted Agricultural Spraying
Abstract: Agriculture has entered a new era of innovation, with drone technology emerging as a key tool in pesticide and fertilizer application. Unlike conventional methods that expose farmers to hazardous chemicals resulting in health issues such as skin disorders, neurological impairments, and in extreme cases, fatal illnesses drone-based spraying offers a safer and more efficient alternative. In India, the adoption of this technology is accelerating due to its ability to reduce …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 476–486 Read article
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Leveraging Artificial Intelligence for Precision Agriculture: Opportunities and Challenges
Abstract: AI in the agriculture sector is slowly changing the face of farming and the way it is practiced through enhanced precision, efficiency and sustainability. This study explores the role of AI in precision agriculture, focusing on its potential to revolutionize crop management, soil health monitoring, pest and disease control, and resource optimization. We examine the various AI technologies, including machine learning, computer vision, and robotics, that are being leveraged to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 28–40 Read article
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Havoc of Papaya Mealybug (Paracoccus marginatus) and Its Management Strategies
Abstract: The papaya mealybug (Paracoccus marginatus) is a serious problem that affects mulberries, citrus, and papaya among other agricultural and horticultural crops. Originating in Central America, it has spread around the world and caused extensive harm because of its capacity to consume plant sap, which results in reduced crop yields, fruit drop, and chlorosis. In addition, the insect releases honeydew, which encourages the development of sooty mold, further impeding photosynthesis and …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Harnessing the Potential of Insectivorous Birds in Managing the Rice Leaf Folder, Cnaphalocrocis Medinalis in Paddy Ecosystems of Kerala
Abstract: This study evaluates the effectiveness of various treatments for managing leaf folder pests in rice crops during the maximum tillering stage, focusing on the role of insectivorous birds. The treatments included bird perches (T1), nylon nets (T2), Bt spray (T3), a combination of bird perch and Bt spray (T4), flubendiamide spray (T5), and a control group (T6). Results indicated significant differences in pest densities. T2 showed the highest mean density …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 6–9 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Agricultural Chemistry: Advances in Soil Preservation, Fertilizers, and Plant-Protection Chemicals
Abstract: Agricultural chemistry plays a pivotal role in enhancing agricultural productivity by improving soil quality and providing essential plant nutrients. The use of fertilizers, plant-protection chemicals, and growth hormones has revolutionized crop production, ensuring higher yields and food security. This review delves into the chemistry behind soil preservation techniques, fertilizers, and plant-protection chemicals such as pesticides, herbicides, insecticides, and fungicides. Emphasis is placed on the development and optimization of fertilizers that …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 1–5 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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Study of Efficient HVDC Boost Converters: Design Challenges and Solutions
Abstract: The boost converter is a fundamental circuit topology in power electronics, widely used for voltage step-up applications. This article explores the design principles, operational characteristics, and performance analysis of boost converters. It delves into key components such as the power switch, inductor, capacitor, and control circuitry, elucidating their roles in achieving efficient voltage conversion. The use of a high voltage direct current (HVDC) boost converter for bug zapper purposes is …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 42–48 Read article
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Contribution, Limitations and Future Of Plant Growth Promoting Consortium in Sustainable Agriculture
Abstract: Current agricultural methods rely significantly on chemical fertilizers, pesticides, and other agrochemicals to enhance plant growth and combat pathogens, aiming to boost crop yields. However, the accumulation of chemical residues in the soil diminishes soil fertility considerably over a period. These accumulated chemicals gradually alter the soil's chemical composition, ultimately rendering it infertile. The high-risk conditions associated with these agricultural chemicals such as bioaccumulation, chemical toxicity and development of resistance …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 29–51 Read article
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Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture
Abstract: The Agrobot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chatbot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 6–14 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Trichoderma: beneficial fungus for sustainable agriculture
Abstract: As environmentally beneficial substitutes for chemical pesticides, Trichoderma species are being utilized in agriculture more and more. Disease suppression, increased plant growth, and increased tolerance to environmental stress are just a few advantages they provide. These fungi are used in a wide range of cropping systems and formulations around the world. Their use is growing worldwide, particularly in Asia and Europe. In contemporary crop management, items derived from Trichoderma are …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 · pp. 25–29 Read article