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A Comprehensive Review on Machine Learning Approaches for Yield Prediction Using Essential Soil Nutrients

R. Prabavathi, Balika J Chelliah
2022 Universal Journal of Agricultural Research  
Based on the findings of the reviews, an intelligent and robust machine learning technique provides the optimum option for achieving (i) soil fertility, (ii) crop prediction, and (iii) yield prediction  ...  approaches such as Support Vector Machine, bayes classifier, decision tree, random forest, linear regression and Extreme Learning Machines.  ...  The goal of precision agriculture (PA) is to develop an intelligent support system based on various crop parameters such as type of soil, presence of nutrients in the soil, level of water, humidity, quality  ... 
doi:10.13189/ujar.2022.100310 fatcat:z4js7cfq25hspadnrodljoc27u

Assessing the Long-Term Evolution of Abandoned Salinized Farmland via Temporal Remote Sensing Data

Liya Zhao, Qi Yang, Qiang Zhao, Jingwei Wu
2021 Remote Sensing  
Thirty-two years of temporal Landsat imagery (from 1988 to 2019) was used to assess the evolution of salinization in Hetao, a two-thousand-year-old irrigation district in northern China.  ...  The decrease in irrigation and the increase in drainage have deepened the groundwater table in Hetao, which weakens the salt collection capacity of the abandoned salinized farmland.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13204057 fatcat:kd65lnza7vhcfjo7hqhe4t75vm

Machine Learning Technique for Crop Recommendation in Agriculture Sector

2019 International Journal of Engineering and Advanced Technology  
Also different analytical models like Decision Tree, Random Forest, Support Vector Machine and Bayesian Neural Network are available for required analysis.  ...  These data mining techniques can be used to analyze the multidimensional, time specific data of agriculture sector to produce effective knowledge in support of the efforts to boost the economy.  ...  Four clusters are formed on the basis of weather attribute, soil salinity and soil-PH, irrigated area, individual crop yields.  ... 
doi:10.35940/ijeat.a1171.109119 fatcat:mswwmt74lbbblbregy47hadr3q

Artificial neural networks and computer vision's based Phytoindication systems for variable rate irrigation improving

Galina Kamyshova, Aleksey Osipov, Sergey Gataullin, Sergey Korchagin, Stefan Ignar, Timur Gataullin, Nadezhda Terekhova, Stanislav Suvorov
2022 IEEE Access  
The article proposes a methodology for optimizing the process of irrigation of crops using a phytoindication system based on computer vision methods.  ...  Dynamic analysis of spatial and temporal variability leads to an increase in productivity and efficiency of water use.  ...  An example is DLiSA's intelligent irrigation system based on a deep learning neural network for predicting the volumetric moisture content in the soil, the period of irrigation, and the spatial distribution  ... 
doi:10.1109/access.2022.3143524 fatcat:i5evcvxykbfkjn3xmjdzkvwvua

Water Allocation and Integrative Management of Precision Irrigation: A Systematic Review

Zhongwei Liang, Xiaochu Liu, Jianbin Xiong, Jinrui Xiao
2020 Water  
Precision irrigation, defined as an efficient water allocation technique characterized by the optimal management and best collaboration of various factors of the irrigation process, attracts considerable  ...  Some frontier techniques such as data-oriented irrigation management, performance-proven water allocation, and cloud-based irrigation control are among the critical technologies capable of building a sustainable  ...  Acknowledgments: We thank the editors for their hard work and the referees for their comments and valuable suggestions that helped to improve this paper.  ... 
doi:10.3390/w12113135 fatcat:q3ftrtlafzf2bikxrh2a5jnfce

Estimating salt content of vegetated soil at different depths with Sentinel-2 data

Yinwen Chen, Yuanlin Qiu, Zhitao Zhang, Junrui Zhang, Ce Chen, Jia Han, Dan Liu
2020 PeerJ  
Firstly, 117 soil samples were collected from Jiefangzha Irrigation Area (JIA) in Hetao Irrigation District (HID), Inner Mongolia, China during August, 2019.  ...  The accurate and timely monitoring of the soil salt content (SSC) at different depths is the prerequisite for the solution to salinization in the arid and semiarid areas.  ...  ACKNOWLEDGEMENTS The authors would like to thank the Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education for providing the test equipment.  ... 
doi:10.7717/peerj.10585 pmid:33391883 pmcid:PMC7759139 fatcat:gvfz5bhefbblnp7bv3ocfezmh4

Remote Sensing Applications in Mapping Salt Affected Soils

Nirmal Kumar, S.K. Singh, G.P. Obi Reddy, V.N. Mishra, R.K. Bajpai
2020 Agricultural Reviews  
The aim of this review paper is to provide a comprehensive overview of remote sensing-based mapping of salt affected soils.  ...  Different bands of the multispectral data and the indices and transforms derived from them have been found useful in delineating salt affected soils.  ...  Many methods of classification such as Maximum Likelihood (MLH), Support Vector Machine (SVM), Decision Tree (DT), and Logistic Regression (LR) based methods have been used successfully to identify SAS  ... 
doi:10.18805/ag.r-2008 fatcat:e7ncsefpq5hsraj4jmqa5kbkda

Adaptive Crop Management under Climate Uncertainty: Changing the Game for Sustainable Water Use

Soe W. Myint, Rimjhim Aggarwal, Baojuan Zheng, Elizabeth A. Wentz, Jim Holway, Chao Fan, Nancy J. Selover, Chuyuan Wang, Heather A. Fischer
2021 Atmosphere  
Double and multiple cropping practices result in water savings because soil moisture is retained from one planting to another.  ...  (2) What is the impact of drought on agricultural water consumption?  ...  and irrigation district managers, and providing relevant documents and suggestions throughout the project period.  ... 
doi:10.3390/atmos12081080 fatcat:tqqnoakk5rhg7o5yln7pey3nxq

Remote sensing-based assessment of waterlogging and soil salinity: a case study from Kerala, India

Gabbar Singh Prajapati, Praveen Kumar Rai, Varun Narayan Mishra, Prafull Singh, Arjun Pratap Shahi
2021 Results in Geophysical Sciences  
The methodology proposed in this study can potentially be used for cost-effective mapping of soil salinity in other geographical regions.  ...  to formulate better management strategies in irrigated regions.  ...  In another study, Wang et al. (2021) applied three machine learning-based modelling approach to estimate and map the soil salinity.  ... 
doi:10.1016/j.ringps.2021.100024 fatcat:srrinwnedzdtpneuozmrzz4hbe

Quantitatively estimating main soil water-soluble salt ions content based on Visible-near infrared wavelength selected using GC, SR and VIP

Haifeng Wang, Yinwen Chen, Zhitao Zhang, Haorui Chen, Xianwen Li, Mingxiu Wang, Hongyang Chai
2019 PeerJ  
Finally, the performance of both models of partial least squares regression (PLSR) and support vector regression (SVR) was investigated on the basis of the sensitive spectral intervals.  ...  Soil salinization is the primary obstacle to the sustainable development of agriculture and eco-environment in arid regions.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.7717/peerj.6310 pmid:30697491 pmcid:PMC6346982 fatcat:a4zdcprydzdzrfg7637b7uu2me

Yearly change in severely salt-damaged areas in paddy fields in Ban Phai in Northeast Thailand

Yi Yang, Masayasu Maki, Rongling Ye, Daiki Saito, Thanyaluck Nontasri, Mallika Srisutham, Supranee Sritumboon, Somsak Sukchan, Koshi Yoshida, Kazuo Oki, Koki Homma
2022 Hydrological Research Letters  
We conducted a field investigation of paddy fields from 2016 to 2019 in Ban Phai district, Khon Kaen province in Northeast Thailand to evaluate yearly changes in the effect of salinity damage on rice production  ...  The investigation area was classified into severely saltaffected areas (2 nd of 5 classes) based on the definition used in Thailand.  ...  ACKNOWLEDGMENTS This research was supported by JST/JICA SATREPS JPMJSA1502 and MEXT/JSPS KAKENHI 19H03069.  ... 
doi:10.3178/hrl.16.7 fatcat:o7j2k3dbjnhqlkxzbsshw6dvjy

Remote Sensing Data Fusion to Evaluate Patterns of Regional Evapotranspiration: A Case Study for Dynamics of Film-Mulched Drip-Irrigated Cotton in China's Manas River Basin over 20 Years

Xuejin Qiao, Guang Yang, Jianchu Shi, Qiang Zuo, Lining Liu, Mu Niu, Xun Wu, Alon Ben-Gal
2022 Remote Sensing  
Supported by the promotion of FMDI technology, the area under cotton production in the basin increased by an average of 4.9% annually.  ...  The dynamics of fused ET provide a reliable scientific basis for agricultural water resources planning and management and for the sustainable utilization of water and soil resources in the basin.  ...  Acknowledgments: The authors gratefully acknowledge all the reviewers and editors for their comments on this paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14143438 fatcat:mp4le3lfzjahpjiskjf73sbinq

Total dissolved salt prediction using neurocomputing models: Case study of Gypsum soil within Iraq region

Neeraj Dhanraj Bokde, Zainab Hasan Ali, Maysam Th. Al-Hadidi, Aitazaz Farooque, Mehdi Jamei, Ali Al Maliki, Beste Hamiye Beyaztas, Hossam Faris, Zaher Mundher Yaseen
2021 IEEE Access  
of soil salinization in an irrigation district based on the support vector [11] Yuan Li, Zhou Li, Song Cui, and Qingping Zhang. Trade-off between soil machine.  ...  On-line vis-NIR spectroscopy prediction cation and estimation of soil properties using support vector machines. of soil organic carbon using machine learning.  ... 
doi:10.1109/access.2021.3071015 fatcat:3xwrg3gjnjccpdwjvjsekop7sa

Groundwater Suitability for Drinking and Irrigation Using Water Quality Indices and Multivariate Modeling in Makkah Al-Mukarramah Province, Saudi Arabia

Maged El Osta, Milad Masoud, Abdulaziz Alqarawy, Salah Elsayed, Mohamed Gad
2022 Water  
The PLSR models, which are based on physicochemical characteristics, have been shown to be the most efficient as alternative techniques for determining the six WQIs.  ...  For instance, the PLSR models of all IWQs had determination coefficients values of R2 ranging between 0.848 and 0.999 in the Cal., and between 0.848 and 0.999 in the Val. datasets, and had model accuracy  ...  Acknowledgments: "The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia, for funding this research work through the project number IFPRC  ... 
doi:10.3390/w14030483 fatcat:nihzqvzskbacrbtvsn6a3yrske

A Review of Irrigation Information Retrievals from Space and Their Utility for Users

Christian Massari, Sara Modanesi, Jacopo Dari, Alexander Gruber, Gabrielle J. M. De Lannoy, Manuela Girotto, Pere Quintana-Seguí, Michel Le Page, Lionel Jarlan, Mehrez Zribi, Nadia Ouaadi, Mariëtte Vreugdenhil (+12 others)
2021 Remote Sensing  
Irrigation represents one of the most impactful human interventions in the terrestrial water cycle.  ...  Knowing the distribution and extent of irrigated areas as well as the amount of water used for irrigation plays a central role in modeling irrigation water requirements and quantifying the impact of irrigation  ...  The European Space Agency for supporting the activity via the ESA contract No. 4000129870/20/I-NB. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13204112 fatcat:3iohcj5455ehpjhs2gbfhtzcfa
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