Asian Journal of Current Research

Management Strategies for Defoliators in Castor Crop

Sat, 11 Jan 2025 00:00:00 +0000

This study aims to identify effective IPM practices for controlling castor defoliators due to their significant potential to reduce castor bean yields. Defoliation caused by castor defoliators in their larval stage results in a decrease in productivity. This research focuses on implementing green and sustainable Integrated Pest Management (IPM) strategies that combine biological, cultural, mechanical, and chemical control methods to reduce pest damage effectively. The identified main strategies include the utilization of natural enemies and parasitoids, changing the habitat, crop rotation, and the selective use of insecticides. The outcomes reveal that an integrated approach not only suppresses defoliator abundance but also improves castor crop resistance while maintaining a balance between yield and environment. These integrated pest management (IPM) practices provide suitable, cost-effective, and environmentally friendly methods for castor farmers aiming to control defoliators.

Evaluation of Organic Inputs Viz., Jeevamruth and Bijamruth on Soil Nutrients and Uptake by Fenugreek Absorption

Mon, 13 Jan 2025 00:00:00 +0000

The present study on the ‘Biochemical evaluation of organic inputs (Jeevamruth and Beejamruth) and their efficacy on Greens’ was conducted at the Department of Sustainable Organic Agriculture, Tamil Nadu Agricultural University, Coimbatore, with laboratory experiments carried out at the Department of Environmental Science. A field trial was set up in a randomized block design with three replications. Biometric observations were recorded on the 10th, 20th, and 30th days after sowing. Soil samples were collected initially and at harvest, and analyzed for chemical and biological properties. Plant samples were tested for protein and chlorophyll content. The application of Jeevamruth increased soil nutrients (NPK) and organic carbon levels. Liquid organic preparations were found to have higher populations of bacteria, fungi, and actinomycetes. The findings suggest that Beejamruth should be applied on the day of preparation, whereas Jeevamruth should be used within 10 to 15 days of preparation. The use of these liquid formulations helps supplement nutrients when biofertilizers are applied.

Demographic Influences on the Adoption of Herbicides in Indian Agriculture: A Study of Soybean and Sunflower Farmers

Akhilesh Jain, Aditi Mathur, Lokesh Kumar Jain — Wed, 15 Jan 2025 00:00:00 +0000

The study has conducted to identify the factors influencing the adoption of new molecules as an input for sustainable and viable agriculture. The adoption of herbicides reduces the drudgery in terms of manpower utilized in manual hoeing to reduce the weed infestation. The inequality in adoption behavior of farmers variably dependent on personnel as well as social factors however fast adoption is get momentum by seeing by doing or demonstrations conducted by manufactures. The study was statistically analysed using chi-square test. The sample size was 459 in eight districts of five states of India. The study has shown that a farmer's adoption behavior is significantly influenced by their age, level of education, and amount of land they own, but gender has no discernible effect. Also, here emphasize the advancements in adoption of herbicides for an alternate approaches in management of resources which are particularly valuable to agroecology, policymakers, and stakeholders.

Simulation of Daylight Using Different Diameter Light Pipes for Optimizing Daylighting in Office Buildings

Shajib Paul, Sajal Chowdhury, Md. Ashikur Rahman Joarder — Thu, 16 Jan 2025 00:00:00 +0000

Lighting is crucial for creating energy-efficient and visually comfortable office spaces, especially in deep-plan buildings where natural daylight cannot reach. Light pipes, or tubular daylighting devices, are innovative solutions for bringing daylight into such spaces. They improve indoor environmental quality and reduce artificial lighting. This study investigates the impact of varying light pipe diameters on daylight distribution, uniformity and overall efficiency in office environments. Using advanced simulation tools e.g., EnergyPlus, Open Studio and Radiance, models were developed to analyze light levels under different configurations. The findings reveal that larger diameter light pipes allow more daylight penetration, enhancing illumination levels at the center of spaces while diminishing near the periphery. The findings of this research yields that there exists a trade-off between increased illumination and decreased uniformity. Maximum illuminance of 179 lux was achieved with a 0.50m diameter light pipe, demonstrating its superior performance over smaller diameters. However, larger diameters require more space and higher costs, while smaller ones are less efficient in deep spaces. Uniformity ratios ranged from 0.36 to 0.37, indicating uneven illumination distribution. The study highlights the importance of balancing light pipe diameter with architectural constraints, energy efficiency, and user comfort. These insights provide a basis for designing sustainable office spaces with optimal daylighting strategies, ensuring both energy savings and occupant well-being. As this study systematically investigated the relationship between diameters and illumination levels, this research contributes to the broader body of knowledge on daylighting strategies for architects and engineers in optimizing the design of daylighting systems in buildings.

Leveraging Artificial Intelligence for Advancing Key Sectors of National Growth and Development

Sat, 18 Jan 2025 00:00:00 +0000

This study explores the transformative potential of artificial intelligence (AI) in national development across key sectors, including economic growth, healthcare, education, infrastructure, and security. Using a qualitative doctrinal research approach, it synthesizes insights from peer-reviewed literature, policy analyses, and case studies to assess AI's contributions and challenges in fostering sustainable progress. Key findings highlight AI’s role in driving economic productivity through automation and innovation while underscoring its impact on the workforce and job market transformation. In healthcare, AI enhances diagnostics, treatment planning, and public health interventions, though concerns about data privacy and algorithmic bias persist. Education systems benefit from AI-enabled personalized learning and skill development, preparing future-ready workforces. Additionally, AI supports sustainable infrastructure through smart city initiatives, improving resource management and urban planning. Despite these advancements, the study identifies challenges such as ethical dilemmas, digital divides, and governance gaps that hinder equitable AI adoption. Recommendations include establishing transparent regulatory frameworks, fostering international collaboration, and investing in digital literacy to ensure inclusive growth. By addressing these issues, AI can become a cornerstone of national development, contributing to the United Nations' Sustainable Development Goals. This research underscores the importance of balanced policies and proactive governance to harness AI's benefits while mitigating associated risks.