Search Results - "Agriculture"

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  1. 1

    A Critical Review on Soil Chemical Processes that Control How Soil pH Affects Phosphorus Availability to Plants by Penn, Chad, Camberato, James

    Published in Agriculture (Basel) (01-06-2019)
    “…Occasionally, the classic understanding of the effect of pH on P uptake from soils is questioned through the claim that maximum P uptake occurs at a pH much…”
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    Journal Article
  2. 2

    Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’ by Koirala, A., Walsh, K. B., Wang, Z., McCarthy, C.

    Published in Precision agriculture (01-12-2019)
    “…The performance of six existing deep learning architectures were compared for the task of detection of mango fruit in images of tree canopies. Images of trees…”
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  3. 3

    The Critical Role of Zinc in Plants Facing the Drought Stress by Umair Hassan, Muhammad, Aamer, Muhammad, Umer Chattha, Muhammad, Haiying, Tang, Shahzad, Babar, Barbanti, Lorenzo, Nawaz, Muhammad, Rasheed, Adnan, Afzal, Aniqa, Liu, Ying, Guoqin, Huang

    Published in Agriculture (Basel) (01-09-2020)
    “…Drought stress affects plant growth and development by altering physiological and biochemical processes resulting in reduced crop productivity. Zinc (Zn) is an…”
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  4. 4

    Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments by Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood

    Published in Precision agriculture (01-12-2021)
    “…Recently, agriculture has gained much attention regarding automation by artificial intelligence techniques and robotic systems. Particularly, with the…”
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  5. 5

    Mortierella Species as the Plant Growth-Promoting Fungi Present in the Agricultural Soils by Ozimek, Ewa, Hanaka, Agnieszka

    Published in Agriculture (Basel) (01-01-2021)
    “…In the most recent scientific reports based on the DNA or RNA-analyses a widespread presence of the filamentous fungi, Mortierella in various environments has…”
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  6. 6

    UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat by Fei, Shuaipeng, Hassan, Muhammad Adeel, Xiao, Yonggui, Su, Xin, Chen, Zhen, Cheng, Qian, Duan, Fuyi, Chen, Riqiang, Ma, Yuntao

    Published in Precision agriculture (01-02-2023)
    “…Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned…”
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  7. 7

    Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification by Lu, Jinzhu, Tan, Lijuan, Jiang, Huanyu

    Published in Agriculture (Basel) (01-08-2021)
    “…Crop production can be greatly reduced due to various diseases, which seriously endangers food security. Thus, detecting plant diseases accurately is necessary…”
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  8. 8

    Rice for Food Security: Revisiting Its Production, Diversity, Rice Milling Process and Nutrient Content by Mohidem, Nur Atikah, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina

    Published in Agriculture (Basel) (01-06-2022)
    “…Rice is food consumed regularly and is vital for the food security of over half the world’s population. Rice production on a global scale is predicted to rise…”
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  9. 9

    Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery by Zheng, Hengbiao, Cheng, Tao, Zhou, Meng, Li, Dong, Yao, Xia, Tian, Yongchao, Cao, Weixing, Zhu, Yan

    Published in Precision agriculture (01-06-2019)
    “…Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding and crop management, and can be used for crop yield prediction. A…”
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  10. 10

    Methods for Management of Soilborne Diseases in Crop Production by Panth, Milan, Hassler, Samuel C., Baysal-Gurel, Fulya

    Published in Agriculture (Basel) (01-01-2020)
    “…The significant problems caused by soilborne pathogens in crop production worldwide include reduced crop performance, decreased yield, and higher production…”
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  11. 11

    Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model by Fu, Longsheng, Feng, Yali, Wu, Jingzhu, Liu, Zhihao, Gao, Fangfang, Majeed, Yaqoob, Al-Mallahi, Ahmad, Zhang, Qin, Li, Rui, Cui, Yongjie

    Published in Precision agriculture (01-06-2021)
    “…Automatic detection of kiwifruit in the orchard is challenging because illumination varies through the day and night and because of color similarity between…”
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  12. 12

    Robots in agriculture: prospects, impacts, ethics, and policy by Sparrow, Robert, Howard, Mark

    Published in Precision agriculture (01-06-2021)
    “…Agriculture is both the site of development of important new technologies and a key area of application of technologies developed elsewhere. It is little…”
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  13. 13

    Intelligent robots for fruit harvesting: recent developments and future challenges by Zhou, Hongyu, Wang, Xing, Au, Wesley, Kang, Hanwen, Chen, Chao

    Published in Precision agriculture (01-10-2022)
    “…Intelligent robots for fruit harvesting have been actively developed over the past decades to bridge the increasing gap between feeding a rapidly growing…”
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  14. 14

    Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture by Dhanaraju, Muthumanickam, Chenniappan, Poongodi, Ramalingam, Kumaraperumal, Pazhanivelan, Sellaperumal, Kaliaperumal, Ragunath

    Published in Agriculture (Basel) (01-10-2022)
    “…Smart farming is a development that has emphasized information and communication technology used in machinery, equipment, and sensors in network-based hi-tech…”
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  15. 15

    Economics of robots and automation in field crop production by Lowenberg-DeBoer, James, Huang, Iona Yuelu, Grigoriadis, Vasileios, Blackmore, Simon

    Published in Precision agriculture (01-04-2020)
    “…This study reviewed research published after 1990 on the economics of agricultural mechatronic automation and robotics, and identified research gaps. A…”
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  16. 16

    Agricultural Sustainability: Microbial Biofertilizers in Rhizosphere Management by Fasusi, Oluwaseun Adeyinka, Cruz, Cristina, Babalola, Olubukola Oluranti

    Published in Agriculture (Basel) (01-02-2021)
    “…The world’s human population continues to increase, posing a significant challenge in ensuring food security, as soil nutrients and fertility are limited and…”
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  17. 17

    Remote sensing and machine learning for crop water stress determination in various crops: a critical review by Virnodkar, Shyamal S., Pachghare, Vinod K., Patil, V. C., Jha, Sunil Kumar

    Published in Precision agriculture (01-10-2020)
    “…The remote sensing (RS) technique is less cost- and labour- intensive than ground-based surveys for diverse applications in agriculture. Machine learning (ML),…”
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  18. 18

    The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture by Karunathilake, E. M. B. M., Le, Anh Tuan, Heo, Seong, Chung, Yong Suk, Mansoor, Sheikh

    Published in Agriculture (Basel) (01-08-2023)
    “…Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision…”
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  19. 19

    Automatic Detection and Monitoring of Insect Pests—A Review by Cardim Ferreira Lima, Matheus, Damascena de Almeida Leandro, Maria Elisa, Valero, Constantino, Pereira Coronel, Luis Carlos, Gonçalves Bazzo, Clara Oliva

    Published in Agriculture (Basel) (01-05-2020)
    “…Many species of insect pests can be detected and monitored automatically. Several systems have been designed in order to improve integrated pest management…”
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  20. 20

    Use of Botanical Pesticides in Agriculture as an Alternative to Synthetic Pesticides by Ngegba, Patrick Maada, Cui, Gaofeng, Khalid, Muhammad Zaryab, Zhong, Guohua

    Published in Agriculture (Basel) (01-05-2022)
    “…Pest management is being confronted with immense economic and environmental issues worldwide because of massive utilization and over-reliance on pesticides…”
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