Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes
'Chok Anan'mangoes, mainly produced in Northern Thailand, are appreciated for their light
to bright yellow colour and sweet taste. Because fruit development of the on-season …
to bright yellow colour and sweet taste. Because fruit development of the on-season …
A comparison of fuzzy AHP and ideal point methods for evaluating land suitability
This article compares two fuzzy approaches to land suitability evaluations, Analytical
Hierarchy Process (AHP) and Ideal Point. The methods were evaluated using a case study …
Hierarchy Process (AHP) and Ideal Point. The methods were evaluated using a case study …
Human resource allocation based on fuzzy data mining algorithm
Y Wu, Z Wang, S Wang - Complexity, 2021 - Wiley Online Library
Data mining is currently a frontier research topic in the field of information and database
technology. It is recognized as one of the most promising key technologies. Data mining …
technology. It is recognized as one of the most promising key technologies. Data mining …
CRY—an improved crop yield prediction model using bee hive clustering approach for agricultural data sets
MG Ananthara, T Arunkumar… - … conference on pattern …, 2013 - ieeexplore.ieee.org
Agricultural researchers over the world insist on the need for an efficient mechanism to
predict and improve the crop growth. The need for an integrated crop growth control with …
predict and improve the crop growth. The need for an integrated crop growth control with …
Evaluation of Land Suitability for Olive (Olea europaea L.) Cultivation Using the Random Forest Algorithm
Many large dams built on the Çoruh River have resulted in the inundation of olive groves in
Artvin Province, Turkey. This research sets out to identify suitable locations for olive …
Artvin Province, Turkey. This research sets out to identify suitable locations for olive …
A new soil quality index based on morpho-pedological indicators as a site-specific web service applied to olive groves in the Province of Jaen (South Spain)
J Calero, V Aranda, A Montejo-Ráez… - … and Electronics in …, 2018 - Elsevier
Soil quality has become a fundamental concept in soil science and agriculture, but it can be
difficult to apply its theoretical and experimental approaches to poorly surveyed zones …
difficult to apply its theoretical and experimental approaches to poorly surveyed zones …
Fruit production under different environmental and management conditions of argan, Argania spinosa (L.)
M Zunzunegui, F Ain-Lhout, J Jáuregui… - Journal of arid …, 2010 - Elsevier
The study's aim was to evaluate the effects of different management and environmental
conditions on fruit and seed mass production of Argania spinosa, an endemic tree to …
conditions on fruit and seed mass production of Argania spinosa, an endemic tree to …
Land suitability assessment for rapeseed potential cultivation in upper Tigris basin of Turkiye comparing fuzzy and boolean logic
Assessment of land suitability is a prerequisite for the conservation and maintenance of land
productivity and the improvement of land use and management systems. This study …
productivity and the improvement of land use and management systems. This study …
Data assimilation of gross domestic product (gdp) in india using stochastic data mining approach
P Rajesh, M Karthikeyan - Journal of Computational and …, 2019 - ingentaconnect.com
Data mining is the progression of categorization all the way through large data sets to
identify patterns and create interaction to solve troubles through data analysis. Data mining …
identify patterns and create interaction to solve troubles through data analysis. Data mining …