The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

The rapid increases of the global population and climate change pose major challenges to a
sustainable production of food to meet consumer demands. Process-based models (PBMs) …

The Maryland Water Quality Improvement Act of 1998 requires mandatory nutrient
management planning on all agricultural land in Maryland. Nutrient management specialists …

Artificial neural networks (ANNs) are biologically inspired computational networks. Among
the various types of ANNs, in this chapter, we focus on multilayer perceptrons (MLPs) with …

Data Mining in Agriculture represents a comprehensive effort to provide graduate students
and researchers with an analytical text on data mining techniques applied to agriculture and …

Decision-making processes in agriculture often require reliable crop response models. The
Fujian province of China is a mountainous region where weather aberrations such as …

Rice crop production contributes to the food security of India, more than 40% to overall crop
production. Its production is reliant on favorable climatic conditions. Variability from season …

A regional analysis of the effects of soil and climate factors on wheat yield was performed in
the Argentine Pampas in order to obtain models suitable for yield estimation and regional …

This study has developed three Logistic Regression Models to determine and analyze the
factors that could affect knowledge, attitude and behavior of the urban poor concerning solid …

In India agriculture contributes approximately 23% of GDP and employed workforce
percentage is 59%. India is the second-largest producer of agriculture crops. the …