Application of a multilayer perceptron artificial neural network for identification of peach cultivars based on physical characteristics

AM Al-Saif, M Abdel-Sattar, AM Aboukarima, DH Eshra - PeerJ, 2021 - peerj.com
In the fresh fruit industry, identification of fruit cultivars and fruit quality is of vital importance.
In the current study, nine peach cultivars (Dixon, Early Grande, Flordaprince, Flordastar …

Leaf Area Prediction of Pennywort Plants Grown in a Plant Factory Using Image Processing and an Artificial Neural Network

MN Reza, M Chowdhury, S Islam, MSN Kabir, SU Park… - Horticulturae, 2023 - mdpi.com
The leaf is a primary part of a plant, and examining the leaf area is crucial in understanding
growth and plant physiology. Accurately estimating leaf area is key to this understanding …

[PDF][PDF] Comparison of artificial neural networks and statistical methods for forecasting prices of different edible oils in indian markets

A Singh - Int Res J Modern Eng Technol Sci, 2021 - researchgate.net
Machine learning methods are continuously being used for forecasting prices of different
commodities with good accuracy but forecasting of prices of agricultural commodities is a …

US equity market volatility index components, impact on the industrial production index and post Covid-19 forecasting: Relevance to Mexico

MS Castro, E Ortiz, A Cabello - Contaduría y administración, 2021 - dialnet.unirioja.es
This research aims to analyze whether the 42 category-specific Equity Market Volatility
(EMV) trackers explain the US industrial production index (IPI) including the impact of the …

Drought estimation-and-projection using standardized supply-demand-water index and artificial neural networks for Upper Tana River Basin in Kenya

RM Wambua - International Journal of Applied Geospatial Research …, 2019 - igi-global.com
Drought occurrence, frequency and severity in the Upper Tana River basin (UTaRB) have
critically affected water resource systems. To minimize the undesirable effects of drought …

Development of a neural network model for identifying bulk cowpea seeds variety using its electrical properties

J Audu, AK Aremu, CA Ogunlade - LAUTECH Journal of Engineering …, 2020 - laujet.com
Artificial intelligence using machine leaning algorithms are modern trends in global
industrialization. For agriculture to meet the global demand, the need to automate it …

A comparison of radial basis function and multilayer perceptron network as tool for classification of medical data

SL Sharmila, C Dharuman… - Journal of Physics …, 2019 - iopscience.iop.org
Abstract Artificial Neural Network has become a popular tool in developing systems that
encircles human proficiency. The importance of exact detection is exceptionally important for …

[PDF][PDF] Comparison of Classificatory Abilities of Artificial Neural Network and Support Vector Machines for Data Generated by Survey on Farmers

GR Halagundegowda, A Singh - Environment and Ecology, 2023 - researchgate.net
Data collected from surveys are generated by processes which are difficult to ascertain and
therefore can be modelled by black box approaches which are available in machine …

An Application of Artificial Neural Network for Farmers' Perspective About Constraints in the Adoption of Recommended Practices of Taramira

J Kuri, JP Yadav, MK Sharma, M Jakhar - 2023 - indianjournals.com
Taramira is a commercial crop widely grown in Rajasthan. The present study was conducted
purposely in the selected Jaipur district of Rajasthan. There is a total of sixteen tehsils in the …

[PDF][PDF] Drought coping strategies: An exploration of determinants of adoption by qualitative response model

GR Halagundegowda - researchgate.net
Coping mechanisms adopted by the farming community has recently become a subject of
increasing importance in climate change research with an objective to reduce the …