Kamel Ahmed Abd-Elsalam – författare

Pythium is one of the most important phytopathogens causing significant damage to agriculture, forest, and nurseries, etc. It is an unseen enemy of the root zone of various plants and hence considered as "hidden terror" for a number of plants. An accurate diagnosis and identification of Pythium causing various infections in plants is very important because it is often confused with several other fungi. Pythium infections are difficult to control once they have set in. Therefore, its effective and ecofriendly management is of paramount importance. In addition, there are many reports on Pythium causing infections in human beings and animals. The present book on Pythium focuses on various aspects which mainly include pathogenesis, technological developments in detection and diagnosis, and its management.

Key Features

Pythium is one of the most important phytopathogens causing significant damage to agriculture, forest, and nurseries, etc. It is an unseen enemy of the root zone of various plants and hence considered as "hidden terror" for a number of plants. An accurate diagnosis and identification of Pythium causing various infections in plants is very important because it is often confused with several other fungi. Pythium infections are difficult to control once they have set in. Therefore, its effective and ecofriendly management is of paramount importance. In addition, there are many reports on Pythium causing infections in human beings and animals. The present book on Pythium focuses on various aspects which mainly include pathogenesis, technological developments in detection and diagnosis, and its management.

Key Features

This is a critical book that examines the power of artificial intelligence to transform the health of crops. It covers the latest AI technologies being used for proactive and accurate protection of plants. The book is a detailed guide on drones and robotics that are used to monitor and spray specific areas and provide highly advanced image processing that help in detecting diseases early on in crops such as wheat, cotton, and tomato. It fills the disconnect between data science and agronomy, including smart sensing, predictive analytics, and integration with precision agriculture systems. The book sheds light on useful ways of managing the pest population sustainably and addresses ethical challenges that define the future of AI-enabled agriculture.