This volume discusses the need to adopt Climate-Resilient Agriculture (CRA) practices to address the increasing global impact that climate change has on agricultural productivity and agriculture-dependent communities. This approach applies technological, policy and economic measures to achieve sustainable agricultural growth in the sectors of grain, fruit, vegetable, fiber, feed, livestock, fisheries and forestry, with the ultimate goal of adapting and building resilience to climate change. The book also uses GIS, crop modeling and remote sensing techniques for future climate resilience applications in agriculture, and covers pest control measures that avoid the use of pesticides to boost crop and livestock productivity for improved food security. The book will be of interest to researchers and students in environmental science, climate science, sustainability and agriculture, as well as policy makers and environmental organizations.

Weeds are considered as one of the serious pests of crops causing huge economic losses to countries annually. This menace can be controlled after knowing the damage on the base of density and duration. There is no need for controlling weeds for duration untill which weeds do not pose economic loss. But when weeds start to cause economic loss in crop fields it becomes compulsory to know duration within which the weeds cause maximum damage. it is only then that a judicious plan for weed control can be devised.