Establishment of rice yield prediction model using soil compaction

被引:17
|
作者
Bui, Van Huu [1 ]
Nguyen, Huu Cuong [1 ]
Ngo, Quang Hieu [1 ]
机构
[1] Can Tho Univ, Dept Mech Engn, Can Tho, Vietnam
来源
ASIAN JOURNAL OF AGRICULTURE AND BIOLOGY | 2023年 / 2023卷 / 02期
关键词
Soil depth; Soil compaction; OM18; rice; Rice yield; Prediction model; TILLAGE; GROWTH; WHEAT;
D O I
10.35495/ajab.2021.09.327
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Soil compaction has a real effect on rice yield in the Mekong Delta. Two field experiments were carried out during 2019 Summer-Autumn and 2020 Summer-Autumn in An Giang Province (Mekong Delta). OM18 rice was cultivated in the plots which were laid out in a randomized complete block design measuring 0.5 x 0.5 m with 5 and 6 m alley between blocks and between plots. The Pearson's correlation test was applied to compare the mean and standard deviation of the soil layers and evaluate the correlation between soil compaction and rice yield in both crops. The present research results showed that the value of soil compaction increased with depth and differed among locations in the rice field. Soil compaction at 10 cm from the surface had a positive correlation with rice yield. Therefore, the prediction model of rice yield is able to build up due to soil compaction at 10 cm from the surface. Moreover, this study provides that the value of 10 cm soil layer compaction ranging between 165 and 190 kPa can be the optimal value of soil tillage for paddy rice cultivation with the highest yield in the Summer-Autumn crop.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] SIBIL - A simulation model for soil water dynamics and crop yield formation considerung soil compaction effects model description
    Simota, C
    Lipiec, J
    Dumitru, E
    Tarkiewicz, S
    SUBSOIL COMPACTION: DISTRIBUTION, PROCESSES AND CONSEQUENCES, 2000, 32 : 154 - +
  • [42] Interactive effects of soil compaction, biochar application, and soil water regime on the growth, yield, and water use efficiency of upland rice
    Adesoyin, Adebola Esther
    MacCarthy, Dilys Sefakor
    Adiku, Godfried Samuel Kwasi
    SCIENTIFIC AFRICAN, 2023, 21
  • [43] Rice Yield Prediction using a Support Vector Regression method
    Jaikla, Ratchaphum
    Auephanwiriyakul, Sansanee
    Jintrawet, Attachai
    ECTI-CON 2008: PROCEEDINGS OF THE 2008 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2008, : 29 - +
  • [44] Rice Crop Yield Prediction Using Artificial Neural Networks
    Gandhi, Niketa
    Petkar, Owaiz
    Armstrong, Leisa J.
    2016 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGICAL INNOVATIONS IN ICT FOR AGRICULTURE AND RURAL DEVELOPMENT (TIAR), 2016, : 105 - 110
  • [45] Rice and Potato Yield Prediction Using Artificial Intelligence Techniques
    Singha C.
    Swain K.C.
    Studies in Big Data, 2021, 99 : 185 - 199
  • [46] A MODEL FOR AGRICULTURAL SOIL COMPACTION
    BAILEY, AC
    JOHNSON, CE
    SCHAFER, RL
    JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH, 1986, 33 (04): : 257 - 262
  • [47] PREDICTION OF TRACTION AND SOIL COMPACTION USING 3-DIMENSIONAL SOIL TYRE CONTACT PROFILE
    WULFSOHN, D
    UPADHYAYA, SK
    JOURNAL OF TERRAMECHANICS, 1992, 29 (06) : 541 - 564
  • [48] Soil and weather based yield prediction model for rainfed areas
    Sharma, Anil
    Arora, Sanjay
    Sharma, Vikas
    Arya, Vivak M.
    Sharma, S. K.
    INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2019, 89 (05): : 887 - 891
  • [49] Prediction model of winter wheat yield based on soil parameters
    Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China
    不详
    Nongye Gongcheng Xuebao, 2013, 23 (118-123):
  • [50] Prediction Model of Greenhouse Tomato Yield Using Data Based on Different Soil Fertility Conditions
    Peng, Xiuyuan
    Yu, Xiaoyu
    Luo, Yuzhu
    Chang, Yixiao
    Lu, Caiyan
    Chen, Xin
    AGRONOMY-BASEL, 2023, 13 (07):