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138 articles for “Crop Improvement”
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 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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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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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 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
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Mathematical Models of Agricultural Cycles in Tribal Astronomy
Abstract: This paper delves into the intricate connection between traditional tribal agricultural practices and astronomical observations, showcasing how indigenous communities have historically relied on celestial movements to guide essential farming activities. By observing the phases of the moon, solar cycles, and the positions of star constellations, tribes have developed precise methods for determining the optimal timing for planting, harvesting, and seasonal planning. These astronomical practices are deeply embedded in their cultural …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 Read article
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Effect of Different Doses of Phosphorus on the Growth and Yield of Mung Bean (Vigna radiata L.)
Abstract: Phosphatic fertilizers play a vital role in enhancing mung bean production by not only improving crop yield but also increasing the quality of the produce. A field trial was done at the Nepal Polytechnic Institute research field to determine the effect of different levels of phosphorus on yield of Mung bean at Bharatpur, Chitwan during the summer season 2024. The test was carried out as per Randomized Complete Block Design …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 1–7 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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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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Assessment of Crop Production System and Agricultural Technology Adoption in Afalech Watershed, Shishonde District
Abstract: In a developing country like Ethiopia, agriculture plays an active role in determining the economic, social, and political systems of a society by forming the basis for every economic activity. Methods: The objectives of this study were to identify and examine the major crop production systems and agricultural technology adoption in the Afalech Watershed, Shishonde District of Southwest Ethiopia. Results: The results of this study indicate that enset, coffee, maize, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 97–106 Read article
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Participatory Demonstration of Grass Strips as Biological Soil and Water Conservation Measures in Kamba Woreda, South Ethiopia
Abstract: Land degradation due to soil erosion and soil fertility depletion is a significant threat to the agricultural system, limiting food security and sustainable agricultural production. This study demonstrated Desho grass strips as biological soil and water conservation measures in Kamba woreda Gamo zone south Ethiopia. Six (6) nearby trial farmers who took part in the demonstration directly were chosen for the study using the purposive sample technique. Sole maize and …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 1–10 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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Restoration of Degraded Agricultural Soils Through Organic Amendments and Sustainable Farming Practices
Abstract: This study investigates the efficacy of organic amendments and sustainable farming practices in restoring degraded agricultural soils, addressing a critical global challenge affecting food security and environmental sustainability. The research was conducted over three growing seasons on degraded semi-arid agricultural land, utilizing a randomized complete block design with five treatments: The following farming practices: pure control, organic amendments but market conventional farming practices, sustainable farming practices but market standard conventional, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 19–27 Read article
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Study of Agriculture Using Drones in India: Evaluation of Feasibility, Impact, and Adoption Challenges
Abstract: Studies in India show that drone technology is revolutionizing agriculture by enabling precision farming, increasing crop yields, reducing costs, and improving sustainability. Key applications include using drones for efficient spraying, crop monitoring via multispectral sensors, soil health analysis, and optimized water management. Government initiatives like the "Kisan Drones" program are promoting adoption, supported by research that demonstrates significant benefits like yield increases and resource savings[1-3]. Figure 1 shows the usage …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 21–33 Read article
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On-Farm Demonstration of Improved Sorghum (Sorghum bicolor L. Moench) Technologies in Cluster based Large scale Approaches at Gofa Zone, Southern Ethiopia
Abstract: Sorghum is used as a source of food and cash for smallholder farmers in drought phrone areas of Gofa Zone. Farmers produce sorghum traditionally without proper management and input use and as a result yield obtained by farmers was far below the crop potential. Therefore, Arba Minch Agricultural Research Center carried out a cluster-based large-scale demonstration of improved sorghum in Melo-Koza and Zala Districts of the Gofa Zone in Southern …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 1, 2024 · pp. 23–30 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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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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Evaluating the Effect of NPSB Fertilizers on Barely (Hordeum vulgare L.) Production and Productivity at Tocha Woreda, Southwest Ethiopia.
Abstract: A number of blended fertilizers (BFs) were formulated and introduced but site and crop specific rate was not identified. A research was conducted in Tocha woreda to evaluate the rate of NPSB fertilizer to improve barely yield during main cropping season of 2019 and 2020. The experiment consists of seven treatment such as control(0) , recommended NP (69kg N and 20kg P), NPSB: 18.9-37.7-6.95-0.1 (100kg NPSB), NPSB: 41.9-37.7-6.95-0.1(100kg NPSB + …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 39–45 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