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Crop yield prediction in cotton for regional level using random forest approach
Crop yield prediction in cotton for regional level using random forest approach
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Crop yield prediction in cotton for regional level using random forest approach

Prasad, N. R. ; Patel, N R ; Danodia, Abhishek

Spatial Information Research, 2021, 29(2), 119, pp.195-206 [Periódico revisado por pares]

Singapore: Springer Singapore

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Machine learning based aspect level sentiment analysis for Amazon products
Machine learning based aspect level sentiment analysis for Amazon products
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Machine learning based aspect level sentiment analysis for Amazon products

Nandal, Neha ; Tanwar, Rohit ; Pruthi, Jyoti

Spatial Information Research, 2020, 28(5), 116, pp.601-607 [Periódico revisado por pares]

Singapore: Springer Singapore

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3
Spatial distribution of aerosol optical depth over India during COVID-19 lockdown phase-1
Spatial distribution of aerosol optical depth over India during COVID-19 lockdown phase-1
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Spatial distribution of aerosol optical depth over India during COVID-19 lockdown phase-1

Rani, Seema ; Kumar, Rajesh

Spatial information research (Online), 2022-06, Vol.30 (3), p.417-426 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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4
Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district, Maharashtra
Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district, Maharashtra
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Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district, Maharashtra

Das, Sumit ; Gupta, Amitesh ; Ghosh, Sasanka

Spatial Information Research, 2017, 25(6), 99, pp.749-756 [Periódico revisado por pares]

Singapore: Springer Singapore

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5
Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem
Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem
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Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem

Aklilu Tesfaye, Andualem ; Gessesse Awoke, Berhan

Spatial Information Research, 2021, 29(1), 118, pp.109-121 [Periódico revisado por pares]

Singapore: Springer Singapore

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6
Correction: Spatio-temporal growth of a traditional urban centre in Nigeria
Correction: Spatio-temporal growth of a traditional urban centre in Nigeria
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Correction: Spatio-temporal growth of a traditional urban centre in Nigeria

Olayiwola, Adewale Mukhtar ; Salau, Wakeel Olorunwa

Spatial information research (Online), 2023-08, Vol.31 (4), p.477-477 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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7
Correction: Geo-based recommendation system utilising geo tagging and K-means clustering
Correction: Geo-based recommendation system utilising geo tagging and K-means clustering
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Correction: Geo-based recommendation system utilising geo tagging and K-means clustering

Shukla, Amar ; Choudhury, Tanupriya ; Benara, Nehit ; Garg, Piyush ; Tiwari, Aditya ; Um, Jung-Sup

Spatial information research (Online), 2023-08, Vol.31 (4), p.475-475 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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8
Groundwater potential mapping using analytical hierarchical process: a study on Md. Bazar Block of Birbhum District, West Bengal
Groundwater potential mapping using analytical hierarchical process: a study on Md. Bazar Block of Birbhum District, West Bengal
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Groundwater potential mapping using analytical hierarchical process: a study on Md. Bazar Block of Birbhum District, West Bengal

Saha, Sunil

Spatial Information Research, 2017, 25(4), 97, pp.615-626 [Periódico revisado por pares]

Seoul: Korean Spatial Information Society

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9
The role of artificial neural network and machine learning in utilizing spatial information
The role of artificial neural network and machine learning in utilizing spatial information
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The role of artificial neural network and machine learning in utilizing spatial information

Goel, Akash ; Goel, Amit Kumar ; Kumar, Adesh

Spatial Information Research, 2023, 31(3), 132, pp.275-285 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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10
RETRACTED ARTICLE: Spatial federated learning model for identification of corn leaf diseases
RETRACTED ARTICLE: Spatial federated learning model for identification of corn leaf diseases
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RETRACTED ARTICLE: Spatial federated learning model for identification of corn leaf diseases

Patil, Nilam Sachin ; Kannan, E.

Spatial Information Research, 2024, 32(2), 137, pp.209-209 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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