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Automation in Agriculture: A Systematic Survey of Research Activities in Agriculture Decision Support Systems Using Machine Learning
In this age of automation, Machine learning (ML) plays the main role in agriculture sector to
suggest suitable advice, crop advice, which includes decisions of growing crops, and advice …
suggest suitable advice, crop advice, which includes decisions of growing crops, and advice …
Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning
One of the most popular drinks, second only to water, is tea. Bangladesh ranks as the
world's 10th-largest manufacturer of tea. Tea has a big impact on poverty reduction, rural …
world's 10th-largest manufacturer of tea. Tea has a big impact on poverty reduction, rural …
Study on budget preparation and forecast model based on apriori rule algorithm
M Ye, C Zheng, M Liu, H Wu - Proceedings of the 2022 6th International …, 2022 - dl.acm.org
Association rule algorithm and data mining technology can discover the hidden rules of
many target data information, apply relevant technologies to budget management, mine and …
many target data information, apply relevant technologies to budget management, mine and …
Data Mining Techniques in the Agricultural Sector
Data mining denotes discovering the useful information from large volume of data. It has
useful areas of implementation in many sectors. In this work, we are mainly concentrating on …
useful areas of implementation in many sectors. In this work, we are mainly concentrating on …
[PDF][PDF] Using pattern mining to determine fine climatic parameters for maize yield in Benin
SPG Tahi, VR Houndji, CG Hounmenou, RG Kakaï - Int J Artif Intell ISSN - researchgate.net
This study investigates the relationships between Benin's climate and maize production to
develop an association rule algorithm for accurate yield prediction. The datasets utilized …
develop an association rule algorithm for accurate yield prediction. The datasets utilized …
Prediction of Tea Production in Rwanda using Data Mining Techniques
U Clarisse - 2021 - dr.ur.ac.rw
Agriculture is the main economic activity in Rwanda and tea is major cash crop in Rwanda.
There has been extensive research on prediction of tea production but most of the methods …
There has been extensive research on prediction of tea production but most of the methods …
Prediction of Tea Production in Rwanda Using Data Mining Techniques
Rwanda's main economic activity is agriculture, and tea is the country's most important cash
crop. There has been extensive research on prediction of tea production in Rwanda but …
crop. There has been extensive research on prediction of tea production in Rwanda but …
[PDF][PDF] DEEP NEURAL NETWORK MODELS FOR CROP YIELD
M SARANYA - 2020 - academia.edu
1.1 Overview of Agriculture 1 1.2 Importance of Agriculture 2 1.3 Agriculture in India 3 1.4
Crop Yield Prediction 4 1.5 Factors Affecting The Crop Yield 5 1.5. 1 Internal Factors 5 1.5. 2 …
Crop Yield Prediction 4 1.5 Factors Affecting The Crop Yield 5 1.5. 1 Internal Factors 5 1.5. 2 …
[PDF][PDF] Application of Multiclass DNeupper Classifier Using Sample Soil Dataset of Tirupur District for Predicting Multiple Crop Yields
S Manimekalai, K Nandhini - ijiset.com
In agricultural applications, the most important process is crop yield prediction that predicts
the yield productivity over a definite period of harvesting. Many data mining algorithms have …
the yield productivity over a definite period of harvesting. Many data mining algorithms have …