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181 articles for “Advanced agriculture”
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Solar Energy for Sustainable and Efficient Agriculture
Abstract: Agriculture is the mainstay of Indian economy and a sustainable agriculture the need of the hour. Today in the developing world where technology is dominating all aspects of life, agriculture is no longer untouched. It would be very right to say that agriculture and technology are going hand in hand and it’s the technological advancement which has taken agriculture at new heights. However technological advancements have their own disadvantages including …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 12–16 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Environmental Impact of Chlorantraniliprole in Bell Peppers: Residue Dynamics and Sustainable Practices
Abstract: Bell peppers (Capsicum annuum) are integral to global agriculture and nutrition due to their rich nutrient profile and culinary uses. To protect these crops from pest infestations, Chlorantraniliprole, a widely employed insecticide, has gained prominence. This research investigates the environmental fate of Chlorantraniliprole in bell pepper ecosystems, emphasizing its effects on soil, water quality, and overall ecological health. The study employs a multifaceted approach, conducting field experiments in the Sangli …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Revolutionizing Plant Disease Detection: A Comprehensive Review
Abstract: Rise in population demands more food production but the diseases in plants contribute to loss. The advancement in agricultural field has a remarkable effect in detecting plant diseases. These diseases will have a major impact on the quality of plant and yield and hence can destroy the entire plant if they are not controlled on time. To reduce disease-related losses, it is necessary to identify different types of diseases and …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 44–55 Read article
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Pros and Cons of Adopting Artificial Diet for Silkworms
Abstract: Silkworms (Bombyx mori L.) were renowned for their ability to produce silk fibers and have played an essential role in the textile industry for thousands of years. Traditionally, these insects have been raised on mulberry leaves which provide them with the necessary nutrients to grow and spin silk. However, in recent years, advancements in agricultural and industrial practices have led to the development of artificial diets for silkworms. These synthetic …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 7–11 Read article
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A SHAP - Enhanced Voice-Based Conversational Agent for Agriculture Using BERT
Abstract: The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services. While state-of-the-art language models such as BERT (Bidirectional Encoder Representations from Transformers) demonstrate exceptional performance in understanding and generating natural language, their opaque “black-box” nature often limits user confidence, trust, and widespread adoption. Farmers may hesitate to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
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Exploring Robotic Arm Fabrication: An In-depth Review of Current Trends
Abstract: Robotic arms have emerged as indispensable tools across a myriad of industries, revolutionizing manufacturing processes, medical procedures, and even everyday tasks. This comprehensive review explores the recent advancements in robotic arm technology, focusing on key developments in design, control, sensing, and applications. The review begins by examining the evolution of robotic arm design, highlighting innovations in materials, actuators, and kinematic configurations that have enhanced the performance, versatility, and dexterity of …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 28–41 Read article
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Automatic Seed Planting Using a Controller
Abstract: Agriculture is a critical sector that requires continuous innovation to meet the increasing global demand for food. Traditional seed planting methods often involve labor-intensive processes that are time-consuming and prone to inefficiencies. This project presents an automatic seed planting machine that integrates ESP32 microcontroller technology with various sensors and actuators to enhance the precision, speed, and efficiency of seed planting. The system is designed to automate seed dispensing, soil digging, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 1–8 Read article
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Store Management System
Abstract: E-commerce into agriculture has significantly changed the existing structures of the agricultural markets. For farmers, it provides a direct outlet to sell their farm products and for consumers, it offers the opportunity to buy fresh and organic farm products. Here we report the design and development of an e-commerce web application for agricultural trading that not only makes use of modern web technologies but also allows farmers to list their …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–9 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Agro- waste to Bioenergy Production in India
Abstract: The transition towards sustainable energy sources is imperative for mitigating environmental degradation and addressing energy security concerns. In the context of India, where biomass constitutes a significant portion of renewable energy potential, understanding its availability and utilization is paramount. The Biomass Resource Atlas of India serves as a comprehensive tool for assessing biomass resources, offering insights into regional and seasonal availability. However, despite substantial biomass generation, its utilization for power …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 27–40 Read article
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Sustainability Empowerment through Agricultural Information Hub
Abstract: Abstract A Farmer Information System web application has been developed to assist rural farmers in learning about and utilizing online sales platforms. Through this system, farmers can both purchase and sell their agricultural products, while also accessing valuable information to enhance their productivity. The project's main goal is to establish a website enabling farmers to sell their produce to customers in various cities. This platform serves as an educational resource, …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 19–24 Read article
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Aatmanirbhar Bharat in Agricultural Sector: A Contemplative Study
Abstract: Agriculture is one of the few sectors of the economy that expanded consistently after independence and successfully satisfied domestic demands. Since gaining independence, the agricultural sector has been the main driver of India's prosperity. Objective: The study's goal is to illustrate India's agricultural self-sufficiency (Aatmanirbharata). Design and methodology: This study is mainly descriptive in nature, utilising both quantitative and qualitative methods. Its design is based on secondary data. The information …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 1, 2024 Read article
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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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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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Food Insecurity: A Growing Threat to Nigeria’s National Security
Abstract: In Nigeria, the topic of food security has played a significant role in the national security equation. The study argues that though the strategic conception and approach are important in the articulation of threats analysis, the non-strategic conceptions like food security or insecurity are also important. It also examines the1erformance of this sector and the extent to which it could be employed as a catalyst to the defence of national …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 57–65 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Lab Reagents and Their Importance in Bio-chemistry
Abstract: Biochemical reagents are essential substances in the study of life at the molecular level. These reagents help scientists detect, identify, and quantify bio-molecules such as proteins, carbohydrates, nucleic acids, and enzymes in biological systems. They play a vital role in understanding metabolic reactions and physiological processes within living organisms. Biochemical reagents are generally classified into analytical, diagnostic, enzymatic, chromogenic, and buffer reagents, each serving a specific purpose in laboratory and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article