Yield Forecast of Sugarcane Using Two Different Techniques in Discriminant Function Analysis

AJ Ramadhan, SRK Priya, RK Balambiga… - BIO Web of …, 2024 - bio-conferences.org
The present study aims to develop yield forecast models for the Sugarcane crop of the
Coimbatore district in Tamilnadu using two different techniques namely Variables and …

Potato yield modeling based on meteorological factors using discriminant analysis and artificial neural networks

AK Gupta, KA Sarkar, D Bhattacharya… - International Journal of …, 2022 - Taylor & Francis
ABSTRACT A reliable, pre-harvest, crop yield prediction based on meteorological factors is
important to anticipate adverse effect of weather variables. Discriminant score-based …

Prediction of crop yield and pest-disease infestation

P Pandit, KN Krishnamurthy, B Bakshi - AI, Edge and IoT-based Smart …, 2022 - Elsevier
Reliable and timely forecasts are of pivotal importance for effective planning, especially for
an uncertain field like agriculture. Crop production and pest-disease severity are the two key …

Statistical and machine learning approaches to study weather-disease-mustard yield relationship under varying environmental conditions

M Singh, AS Nain - 2023 - researchsquare.com
The sowing window of mustard crop under Indian conditions, often varies from place to
place and from year to year, creating a diverse set of environmental conditions available for …

[PDF][PDF] Sugarcane Yield Prediction in Bihar using Biometric Characteristics

M Muhammed Irshad, M Kumar… - Environment and …, 2024 - environmentandecology.com
This study focuses on creating predictive models for sugarcane yield in Bihar, utilizing
various biometrical characteristics. The research involved collecting observations on specific …