It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

An interdisciplinary framework for managing sustainable agrifood supply chains Supply
Chain Management for Sustainable Food Networks provides an up-to-date and …

This chapter gives an account on the application of precision agriculture (PA) over the last
25 years, on the methods used, the results obtained, the adoption of the technology and the …

In this research work, a fuzzy inference system (FIS) and an adaptive neuro-fuzzy inference
system (ANFIS) were developed to classify apple total quality based on some fruit quality …

The world's main source of food supply in agriculture, and due to the increase in population
growth, the requirement for food supply is increasing day by day. Rice is the main food crop …

In the coffee industry,“cup**” is the process of sensorial evaluation of coffee beans, also
known as sample evaluation. This process is done for three major reasons: 1) to determine …

One of the major problems confronted in precision agriculture is uncertainty about how
exactly would yield in a certain area respond to decreased application of certain nutrients …

Wine quality is a complex attribute, thus single berry parameters are not adequate to define
grape suitability for the production of specific wines. Fuzzy logic systems are particularly …

Develo** a sustainable agricultural production system requires knowledge of the climate,
soil, and topography of the area of interest. This is especially relevant for wine grape (Vitis …

Advances in remote-sensing, sensor and robotic technology, machine learning, and artificial
intelligence (AI)–smart algorithms that learn from patterns in complex data or big data-are …