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72 articles for “Crop yield improvement”
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A Multivariate Adaptive Regression Splines Based Study of Soil Parameters and Their Impact on Onion Yield in Bhavnagar District
Abstract: Bhavnagar district is one of the prominent onion-growing areas in the Saurashtra region of Gujarat, encompassing key talukas such as Mahuva, Talaja, Ghogha, Jesar, and Palitana. Onion cultivation in the district is carried out across three distinct seasons: rabi, kharif, and late kharif with harvesting periods extending from April to May for the rabi crop and from October to March for the kharif and late kharif crops. The productivity of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 53–64 Read article
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Silage Beyond Green Fodder: Nutritional, Health, Economic and Environmental Implications for Sustainable Livestock Production
Abstract: Silage is a pivotal component in modern livestock feeding systems, offering far more than just an alternative to green fodder. This study explores the multifaceted roles of silage in enhancing livestock nutrition, health, and overall farm sustainability. The preservation of crops through fermentation allows for year-round availability of high-quality feed, ensuring consistent nutritional intake, particularly during periods of forage scarcity. Beyond its basic function as a feedstuff, silage improves the …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 01–23 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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The Role of Soil Quality Parameters in Enhancing Agricultural Productivity
Abstract: Thus one can define soil quality as a set of physical, chemical and biological properties of the surface layer of the Earth’s crust that affects agriculture production. In this study, some of the factors which are related to soil quality include pH, texture, organic matter content, nutrient availability and microbial activity that affect crop germination as well as yield. It looks at the way in which the soil factors influence …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 48–66 Read article
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Green Synthesis of Silver Nanoparticles: Antifungal Efficacy Against Aspergillus niger and Agricultural Benefits
Abstract: Silver nanoparticles (AgNPs) are gaining significant attention in agriculture due to their potent antifungal properties. This study focuses on evaluating the antifungal effects of green synthesized AgNPs derived from Aloe vera leaf extract against the pathogenic fungus Aspergillus niger. The results indicate that the synthesized nanoparticles exhibited a strong absorption maximum at 550 nm, indicative of surface plasmon resonance. UV-Vis spectroscopy was used to analyze the nanoparticles, and the solution …
Published in International Journal of Fungi · Vol. 1, Issue 1, 2024 · pp. 19–23 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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A Comprehensive Review of Metabolite
Abstract: Metabolites, tiny chemicals, are essential to physiology, signalling, and biological function. This extensive review classifies metabolites into primary and secondary categories by biological relevance. Alkaloids, flavonoids, and terpenoids contribute to ecological interactions and defence systems, while amino acids, nucleotides, and carbohydrates directly affect development and cellular function. The article examines metabolic pathways, mass spectrometry, NMR, and metabolomics, a growing field. Metabolites play a crucial role in various scientific and practical …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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Adaptation of Finger Millet (Eleusine coracana) Varieties in Southern Ethiopia
Abstract: Finger millet (Eleusine coracana) is one of the cereal food and feed crops grown in Ethiopia. The crop is considered a low input crop. Unavailability of improved varieties was realized as one of the major production constraints at all potential areas in southern Ethiopia. The present study was conducted with an objective to identify the adaptive, preferred and better yielding finger millet varieties for further demonstration and pre-scale up. The …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 1–5 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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Fields of Data: Exploring AI’s Impact on Modern Farming
Abstract: The Food and Agriculture Organization (FAO) of the United Nations projects that by 2050, there will be a further 2 billion people on the planet, but just 4% of that additional land will be used for agriculture. Under such circumstances, the most recent technical developments and solutions to the farming industry’s obstacles can be used to achieve more effective farming methods. The direct implementation of machine intelligence or artificial intelligence …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Optimizing Green Fodder Availability: Strategic Roadmaps for Sustainable Dairy Development in the Tropics
Abstract: The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming.The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming. Green fodder serves as a vital source of nutrition for dairy cows, directly influencing milk yield, animal health, and overall farm profitability. However, challenges such as limited …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–30 Read article
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Seed Priming with Zinc Oxide Nanoparticles and Plant Growth-promoting Rhizobacteria to Enhance the Seedling Development of Fenugreek
Abstract: Globally, agrochemicals are introduced to the soil as additional nutrients to increase soil fertility. A broad variety of situations in nature can be adapted by Plant Growth Promoting Rhizobacteria (PGPRs), thus making them a potential ecologically sustainable alternative. In addition, they are involved in a variety of ecologically important activities and interact with soil microorganisms both effectively and antagonistically. The growth of plants is known to be influenced by the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 362–376 Read article
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Response of Mung Bean (Vigna Radiata (L.) R. Wilczek) Varieties to Bradyrhizobium Inoculation at Gimbo District, Southwestern Ethiopia
Abstract: Globally, mung beans are grown in tropical and subtropical climates as an essential pulse crop. However, lack of appropriate nutrient management combined with the best responsive varieties is a major problem in enhancing productivity of mung bean. Thus, this field experiment was conducted in Gimbo district, Southwest Ethiopia, during the 2024–2025 rain-fed cropping season to evaluate the response of mung bean varieties to Bradyrhizobium inoculation. The treatments comprised factorial combinations …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 28–37 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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Nanotechnology: Effective Pesticide Solutions for Jawar Leaf Diseases
Abstract: Jawar (Sorghum), a staple food crop in many parts of the world, faces significant challenges from various leaf diseases that can drastically reduce yields and impact food security. Traditional pesticide application, while offering some protection, often suffers from limitations such as low efficiency, environmental concerns, and the development of pesticide resistance in pathogens. The application of nanotechnology is a viable option, presenting novel strategies to solve these challenges and revolutionising …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 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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Effective Strategies for Sustainable Soil and Water Management: Enhancing Agricultural Productivity and Environmental Conservation
Abstract: Soil and water are essential natural resources, and their degradation due to erosion, overgrazing and other factors is ongoing. Water erosion is influenced by climate, topography, vegetation and soil, while wind erosion is affected by wind characteristics, surface features, topography and soil properties. Unsustainable land and water management practices lead to reduced soil fertility, soil loss, lower crop yields, water depletion, deforestation, and diminished biomass. Of the 1386 million cubic …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 11–36 Read article
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Intercropping Legumes Covers with Maize on Soil Moisture Improvement in Selected Dry Land Areas of Basketo Special Woreda’s, Ethiopia
Abstract: In order to increase land productivity, intercropping offers enough flexibility to grow two or more crops at the same time on the same plot of land. The advantages of intercropping systems have not been thoroughly investigated and are supported by available experimental data. The purpose of this study was to assess how intercropping affects soil moisture conservation in places under moisture stress, which affects land productivity. In this study, experimental …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 09–18 Read article