Showing 161 - 180 results of 424 for search '"crop yields"', query time: 0.10s Refine Results
  1. 161

    Genetic diversity and population structure analyses of tropical maize inbred lines using Single Nucleotide Polymorphism markers. by Rodreck Gunundu, Hussein Shimelis, Seltene Abady Tesfamariam

    Published 2025-01-01
    “…This study provides valuable insights for maize breeding programs, enabling the exploitation of beneficial alleles and contributing to improved crop yields and food security through hybrid breeding.…”
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    Article
  2. 162

    Pharmaceutical orientation and applications of silver/zinc oxide nanoparticles developed from various fruit peel extracts: an emerging sustainable approach by Mahima Chaudhary, Priyvart Choudhary, Anjali Tripathi, Vinay Kumar Pandey, Rohit Sharma, Seema Singh, Sarvesh Rustagi, Amritanshu Pathak

    Published 2025-01-01
    “…The controlled release of zinc from nanoparticles opens avenues for agricultural applications, enhancing nutrient availability for plants and elevating crop yields. The customization of nanoparticles for catalysis, sensing, and optoelectronics highlights their versatility and adaptability for diverse industrial applications. …”
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    Article
  3. 163

    HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE by Obasi S.N, Tenebe V. A, Obasi C.C, Jokthan G.E, Adjei E.A, Keyagha E.R

    Published 2024-04-01
    “…The project explores adapting precision farming to enhance crop yields, soil health, and mitigate climate change concerns using AI technologies such as sensor-based monitoring and satellite imaging analysis. …”
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    Article
  4. 164

    Topsoil Compaction Risk Based on the Different Responses of Soil Structure to Compaction Stress by Huiqing Zhang, Tingfeng He

    Published 2024-12-01
    “…Compaction leads to reduced crop yields, as the soil structure is destroyed. As soil structures respond differently to different degrees of compaction stress, early warnings for the risk of soil compaction caused by agricultural machinery need to be provided based on changes to the soil structure. …”
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  5. 165

    A 40-year remote sensing analysis of spatiotemporal temperature and rainfall patterns in Senegal by Catherine Nakalembe, Diana B. Frimpong, Hannah Kerner, Mamadou Adama Sarr

    Published 2025-02-01
    “…High temperatures in key crop-producing regions, such as Saraya, Goudiry, and Tambacounda in the Eastern Senegal area also threaten crop yields, especially maize, sorghum, millet, and peanuts. …”
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  6. 166

    Utilization of cattle manure and potassium fertilizer on soil potassium availability and yield of cowpea (Vigna unguiculata L. Walp) in rainfed rice by Nourma Al Viandari, Elisabeth Srihayu Harsanti, Edi Supraptomo, Anicetus Wihardjaka

    Published 2024-11-01
    “…In fact, low K availability (exchangeable K is ≤ 0.04 cmol(+) kg-1) is one of the obstacles in rainfed rice fields, especially in increasing crop yields, including cowpea. Therefore, K supplies from various sources are needed to improve soil and cowpea productivity, such as K fertilizer and manure. …”
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  7. 167

    Advanced Algorithmic Model for Real-Time Multi-Level Crop Disease Detection Using Neural Architecture Search by Slimani Hicham, El Mhamdi Jamal, Jilbab Abdelilah

    Published 2025-01-01
    “…These results significantly contribute to developing robust and accurate disease management strategies, paving the way for improved agricultural practices and increased crop yields. Our approach enables early disease detection and precise classification, leveraging deep transfer learning and facilitating timely interventions and optimized treatments. …”
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    Article
  8. 168

    Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach by Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker

    Published 2025-01-01
    “…By providing farmers and farming stakeholders with a reliable tool for rapid disease detection, our model facilitates timely intervention and management practices, ultimately leading to improved crop yields and mitigated economic losses. Through extensive comparative analyses on various datasets and filed tests, the proposed depth wise separable convolutional-TransNet (DSC-TransNet) architecture has demonstrated higher performance in terms of accuracy (99.97%), precision (99.94%), recall (99.94), sensitivity (99.94%), F1-score (99.94%), AUC (0.98) for Grpae leaves across different datasets including bell pepper and tomato. …”
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  9. 169

    MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

    Published 2025-01-01
    “…The challenges posed by climate change have had a crucial impact on global food security, with crop yields negatively affected by abiotic and biotic stresses. …”
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  10. 170

    A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

    Published 2025-02-01
    “…The results demonstrate the effectiveness of deep learning models in accurately identifying plant diseases, offering a valuable tool for enhancing disease management and crop yields.…”
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    Article
  11. 171

    Influence of indole acetic acid, arginine and mango fruit waste biochar on nutrients, chlorophyll contents and antioxidants of Fenugreek in salt affected soil by Misbah Hareem, Sammina Mahmood, Subhan Danish, Rana Khalid Iqbal, Abdullah A. Alarfaj, Sulaiman Ali Alharbi

    Published 2025-01-01
    “…Abstract Salinity stress disrupts water uptake and nutrient absorption, causing reduced photosynthesis, stunted growth, and decreased crop yields in plants. The use of indole acetic acid (IAA), arginine (AN), and mango fruit waste biochar (MFWB) can be effective methods to overcome this problem. …”
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  12. 172

    Mapping the Land Suitability for Paddy, Corn, and Soybean in Tropical Situation of Jombang District, Indonesia by Zainal Arifin, Dwi Setyorini, Donald Sihombing, Sugiono Sugiono, Evy Latifah, Mohammad Saeri, Catur Hermanto, Amik Krismawati, Nurul Istiqomah, Eni Fidiyawati

    Published 2024-01-01
    “…Land suitability class determines the level of land management and technology required to obtain optimal crop yields. Land suitability for paddy, corn, and soybeans based on ZAE in Jombang District can be extrapolated to other areas that have similarities.…”
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  13. 173

    A Sensor-Based Data Acquisition System for Soil Parameters to Determine Suitable Crops by Blessing Olatunde Abisoye, Eustace Manayi Dogo, Buhari Ugbede Umar, Isaac Zhiri Mamman

    Published 2023-12-01
    “…Using this system can result in improved crop yields, reduced wastage, and better overall efficiency in agricultural operations …”
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  14. 174

    Evaluating the impact of drought and water restrictions on agricultural production in irrigated areas through crop water productivity functions and a remote sensing-based evapotran... by Joaquim Bellvert, Magí Pamies-Sans, Jaume Casadesús, Joan Girona

    Published 2025-03-01
    “…This approach offers valuable insights for water management agencies regarding the effects of water restrictions on crop yield losses, enabling them to make more informed decisions. …”
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  15. 175

    Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

    Published 2025-02-01
    “…Accurate soil moisture estimation is fundamental for optimizing irrigation strategies, enhancing crop yields, and managing water resources efficiently. …”
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    Article
  16. 176

    Microbial Inoculants in Sustainable Agriculture: Advancements, Challenges, and Future Directions by Alondra María Díaz-Rodríguez, Fannie Isela Parra Cota, Luis Alberto Cira Chávez, Luis Fernando García Ortega, María Isabel Estrada Alvarado, Gustavo Santoyo, Sergio de los Santos-Villalobos

    Published 2025-01-01
    “…Climate change poses a significant threat to global food production, as it can disrupt crop yields and modify the lifecycle stages of phytopathogens and pests. …”
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  17. 177

    Effect of phosphoric rock on the chemical, microbiological and enzymatic quality of poultry, equine and cattle manure compost mix by Luis Paez, Jose Garcia, Joel Parra, Leonardo Lozano Jacome

    Published 2022-09-01
    “…Third, a strong positive relationship was found between ammonia-oxidizing bacteria and PBII, a medium correlation was found between PSM and TP, and a negative correlation was found between pH and PT.Conclusion Composting manure with phosphoric rock could be a low-cost source of macronutrients, minerals, and microorganisms to promote soil health and crop yields.…”
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  18. 178

    Economy of Fertilizer Nitrogen through Organic Sources in Rain-Fed Rice-Legume Cropping Systems in West Bengal, India by A.M. Puste, S. Bandyopadhyay, D.K. Das

    Published 2001-01-01
    “…Therefore, the results suggest that the combined application of inorganic and organic N sources in a 75:25 ratio is a superior N-management practice with regards to crop yields as well as improvement of soil fertility.…”
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  19. 179

    Assessing mechanized, conservation, and small-scale tillage impacts on Alexander wander wheat performance in Bamenda, Cameroon by Engonwie Sharon Mbachan, Ngwa Martin Ngwabie

    Published 2024-12-01
    “…In order to improve crop yields while enabling sustainable soils, tillage practices executed during crop production in a particular region need to be assessed. …”
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  20. 180

    Performance evaluation of hyper-parameter tuning automation in YOLOV8 and YOLO-NAS for corn leaf disease detection by Huzair Saputra, Kahlil Muchtar, Nidya Chitraningrum, Agus Andria, Alifya Febriana

    Published 2025-01-01
    “…This automated system facilitated early disease identification and enabled prompt preventive measures, thereby enhancing crop yields and mitigating losses. The findings highlighted the potential of advanced AI-driven detection systems in revolutionizing crop management and supporting global food security.…”
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    Article