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117 articles for “crop yield”
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Biochemical Changes in Chickpea (Cicer arietinum L.) Plants Induced by Flooding
Abstract: Flooding is a significant environmental stressor that affects the growth, development, and productivity of chickpea (Cicer arietinum L.), a crucial pulse crop grown worldwide, especially in India. This study investigates the biochemical changes in chickpea plants subjected to prolonged and sudden flooding. Key parameters analyzed include carbohydrate metabolism, protein content, chlorophyll levels, amylase activity, and proline accumulation. Results show that flooding significantly reduces total sugar content in leaves, stems, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–9 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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Measurement of Farm Efficiency in Agricultural Sector of India:A Study
Abstract: While the non-parametric production function is based on linear programming, the parametric production function is estimated using stochastic frontier analysis (SFA). The efficiency is assessed using a non-parametric technique known as Data Envelopment Analysis (DEA) (Charnes, Cooper, & Rhodes, 1978).. The primary benefit of the DEA technique is that it circumvents certain drawbacks of the parametric approach by requiring simply a little portion of a priori assumptions about the functional …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Automatic Water Irrigation System
Abstract: India's economy has long been rooted in agriculture, with the majority of its population relying on it for their livelihood. However, challenges such as erratic rainfall in dry regions pose significant obstacles to effective irrigation. To address this, there is a growing need for automated irrigation systems that can remotely manage water distribution for optimal crop yield and farmer safety. The increasing costs of energy and dwindling water supplies underscore …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 21–25 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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Iot Cloud for Hydroponics System and Agriculture
Abstract: The integration of Internet of Things (IoT) technology into hydroponic systems has revolutionized modern agriculture, enabling more efficient resource utilization and higher crop yields. This project offers an Internet of Things cloud solution intended to handle the difficulties in hydroponic system management and monitoring. By leveraging sensors to collect essential data such as temperature, humidity, pH levels, nutrient concentration, and light intensity, this solution facilitates real-time data transmission to a …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Environmental and Health Impacts of Rice Milling: A Case Study of Dinajpur Sadar Upazila, Bangladesh
Abstract: Rice milling plays a crucial role in Bangladesh's agricultural economy but contributes significantly to environmental pollution, affecting air, water, and soil quality, which in turn impacts public health and agricultural productivity. While prior studies have focused on immediate health effects like respiratory problems and reduced crop yields, they often overlook long-term consequences such as chronic diseases, soil degradation, and socio-economic impacts. Additionally, there is limited comparison between traditional and automated …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 18–28 Read article
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IoT and Sensor Technologies: Pioneering Smart Agriculture for a Sustainable Future
Abstract: Smart agriculture provides creative answers to important global problems including resource efficiency, environmental sustainability, and food security. It improves agricultural yields, reduces waste, and optimizes farming operations by combining technologies like IoT, AI, and big data. This strategy ensures dependable food supply for a growing population while minimizing environmental damage and promoting sustainable development. In addition to solving the problems facing agriculture now, smart agriculture opens the door to a …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 1–8 Read article
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Foliar Application of Zinc Nanoparticles Improves Photosynthetic Performance in Wheat Plants
Abstract: The present study investigated the impact of foliar spray of zinc oxide nanoparticles on physiological and biochemical reactions in wheat (Triticum aestivum L.) Foliar spray with zinc oxide nanoparticles at 10 mg/l positively increased pigment content and biomass in comparison to control while a significant reduction in chlorophyll content and biomass accumulation was observed at higher concentration of 1000 mg/l. A study of Chlorophyll a fluorescence parameters at 10 mg/l …
Published in Research and Reviews : A Journal of Biotechnology 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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The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming
Abstract: Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
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Biosynthesis of Zinc Oxide Nanoparticles and Their Revolutionary Impacts on Agroindustry: Review
Abstract: Nanotechnology is a new approach of science which provides alternative tool in many fields including agriculture. This comprehensive review focuses on the biosynthesis and characterization of zinc oxide nanoparticles (ZnO NPs), highlighting their vast potential in agroindustry applications. Unlike traditional physical and chemical methods, which are often costly, time-consuming, and involve hazardous materials, this review explores the promising biological synthesis routes, offering a more sustainable and eco-friendly alternative for producing …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 33–50 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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Multipurpose Farming Robot Control
Abstract: Conventional agricultural practices frequently involve a significant amount of manual labor and are prone to inefficiencies and resource waste.The relevance of incorporating robotics and mobile technology into agriculture lies in addressing several critical challenges faced by the industry. The implementation of IoT technology in smart farming systems. It covers various IoT applications in agriculture, such as environmental monitoring, automated irrigation, and precision farming, highlighting the benefits and challenges of IoT …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 19–25 Read article
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KSK Approach to Smart Agriculture: Utilizing AI-Driven Internet of Things (AI IoT)
Abstract: An enormous change is taking place in the agriculture industry as a consequence of the arrival of the AIIoT, which is powered by artificial intelligence and provides farmers with unparalleled automation capabilities and insights. The determination of this research is to present a all-inclusive review of artificial intelligence and the internet of things (AIIoT) in smart agriculture, focusing on its applications, benefits, and consequences for decision-making. The concept of smart …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 21–32 Read article
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Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article