Thesis Abstract

Crop yield is determined by various soil properties and climatic factors. Understanding their influence on yield is important for optimizing agricultural production. This study aims to develop predictive models for yield of major crops as influenced by soil parameters like texture, organic matter, pH, etc. and weather variables like temperature, rainfall, humidity. Field experiments will be conducted to collect yield and soil data for different crops over multiple seasons. Statistical tools will be used to analyze the data and develop regression models. The models developed can help farmers estimate expected yields under prevailing conditions and take informed decisions regarding crop planning and inputs.

Thesis Overview