Crop prediction based on soil and environmental characteristics using feature selection techniques

A Suruliandi, G Mariammal, SP Raja - Mathematical and Computer …, 2021 - Taylor & Francis
Earlier, crop cultivation was undertaken on the basis of farmers' hands-on expertise.
However, climate change has begun to affect crop yields badly. Consequently, farmers are …

CoSoGMIR: A Social Graph Contagion Diffusion Framework using the Movement-Interaction-Return Technique

AA Ojugo, PO Ejeh, MI Akazue… - Journal of …, 2023 - dl.futuretechsci.org
Besides the inherent benefits of exchanging information and interactions between nodes on
a social graph, they can also become a means for the propagation of knowledge. Social …

[PDF][PDF] A study on optimization techniques in feature selection for medical image analysis

M Allam, M Nandhini - International Journal on Computer Science …, 2017 - researchgate.net
Reliable and rapid diagnosis of diseases is required to handle health problems efficiently at
an early stage. The best possible way to accomplish this is developing an imaging system to …

Prediction of land suitability for crop cultivation based on soil and environmental characteristics using modified recursive feature elimination technique with various …

G Mariammal, A Suruliandi, SP Raja… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Crop cultivation prediction is an integral part of agriculture and is primarily based on factors
such as soil, environmental features like rainfall and temperature, and the quantum of …

[HTML][HTML] An efficient hybrid feature selection method to identify potential biomarkers in common chronic lung inflammatory diseases

M Maghsoudloo, SA Jamalkandi, A Najafi… - Genomics, 2020 - Elsevier
Asthma, chronic obstructive pulmonary disease (COPD), and idiopathic pulmonary fibrosis
(IPF) are three serious lung inflammatory diseases. The understanding of the pathogenesis …

Improved method for cropland extraction of seasonal crops from multi-sensor satellite data

D Raza, H Shu, M Nazeer, H Aslam… - … Journal of Remote …, 2024 - Taylor & Francis
Monitoring agricultural land over vast geographical areas presents challenges due to the
absence of accurate, comprehensive and precise data, which has become a complex …

[PDF][PDF] Quest for Empirical Solution to Runoff Prediction in Nigeria via Random Forest Ensemble: Pilot Study

BO Malasowe, BE Edim, W Adigwe… - … in Multidisciplinary & …, 2024 - unidel.edu.ng
Environmental factors and features often change to result in either harsh weather conditions
or rainfall, which often calms the weather as well as provides fast, significant downstream …

Improving classification accuracy for separation of area under crops based on feature selection from multi-temporal images and machine learning algorithms

M Kabolizadeh, K Rangzan, K Habashi - Advances in Space Research, 2023 - Elsevier
Timeliness, accurate, and frequent monitoring of area under crops are necessary for
achieving food security. Therefore, the present study was conducted to improve the …

[PDF][PDF] Evidence of Students' Academic Performance at the Federal College of Education Asaba Nigeria: Mining Education Data.

AA Ojugo, CC Odiakaose, F Emordi, RE Ako… - Knowl. Eng. Data …, 2023 - academia.edu
The advent of data technology in various fields has led to massive volumes of data in
various forms like files, audio, videos, images, and lots of new data formats [1][2]. Data from …

A modified multiple-criteria decision-making approach based on a protein-protein interaction network to diagnose latent tuberculosis

S Ayalvari, M Kaedi, M Sehhati - BMC Medical Informatics and Decision …, 2024 - Springer
Background DNA microarrays provide informative data for transcriptional profiling and
identifying gene expression signatures to help prevent progression of latent tuberculosis …