"Climate-smart agriculture, forestry and fisheries (CSA), contributes to the achievement of sustainable development goals. It integrates the three dimensions of sustainable development (economic, social and environmental) by jointly addressing food security and climate challenges. It is composed of three main pillars: sustainably increasing agricultural productivity and incomes; adapting and building resilience to climate change; reducing and/or removing greenhouse gases emissions, where possible. The purpose of the sourcebook is to further elaborate the concept of CSA and demonstrate its potential, as well as limitations. It aims to help decision makers at a number of levels (including political administrators and natural resource managers) to understand the different options that are available for planning, policies and investments and the practices that are suitable for making different agricultural sectors, landscapes and food systems more climate-smart. This sourcebook is a reference tool for planners, practitioners and policy makers working in agriculture, forestry and fisheries at national and subnational levels." -- Back cover.

This publication describes climate-smart agriculture (CSA) case studies from around the world, showing how the approach is implemented to address challenges related to climate change and agriculture. The case studies operationalize the five action points for CSA implementation: expanding the evidence base for CSA, supporting enabling policy frameworks, strengthening national and local institutions, enhancing funding and financing options, and implementing CSA practices at field level. The publication provides examples of the innovative roles that farmers, researchers, government officials, private sector agents and civil society actors can play to transform food systems and help meet the Sustainable Development Goals; it also demonstrates how these actors can collaborate. The case studies discuss context-specific activities that sustainably increase agricultural productivity and incomes, adapt and build resilience of people and food systems to climate change, and reduce and/or remove greenhouse gas emissions where possible.

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.

This study was undertaken to assess farmers’ preferences and willingness to pay (WTP) for various climate-smart interventions in the Indo-Gangetic Plain. The research outputs will be helpful in integrating farmers’ choices with government programs in the selected regions. The Indo-Gangetic Plain (IGP) was selected because it is highly vulnerable to climate change, which may adversely affect the sustainability of the rice-wheat production system and the food security of the region. Climate-smart agriculture (CSA) can mitigate the negative impacts of climate change and improve the efficiency of the rice-wheat-based production system. CSA requires a complete package of practices to achieve the desired objectives, but adoption is largely dependent on farmers’ preferences and their capacity and WTP. To assess farmers’ choices and their WTP for the potential climate-smart technologies and other interventions, we used scoring and bidding protocols implemented through focus group meetings in two distinct regions of Eastern and Western IGP. We find that laser land leveling (LLL), crop insurance, and weather advisory services were the preferred interventions in Eastern IGP. Farmers preferred LLL, direct seeding, zero tillage, irrigation scheduling, and crop insurance in Western IGP. Through the bidding approach, farmers implicitly express their WTP for new technologies that could transform current agricultural practices into relatively low-carbon and more productive farming methods. But actual large-scale adoption of the preferred climate-smart technologies and other interventions would require access to funding as well as capacity building among technology promoters and users.

In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable Agricultural Development provides innovative insights into the latest farming advancements in terms of informatics and communication. The content within this publication represents the work of topics such as sensor systems, wireless communication, and the integration of the Internet of Things in agriculture-related processes. It is a vital reference source for farmers, academicians, researchers, government agencies, technology developers, and graduate-level students seeking current research on smart farming technologies.

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

This book provides applications of wireless sensor networks (WSN) in environmental monitoring, with an emphasis on livestock disease detection and agricultural management in Africa to aid farmers. This proposed system entails current and innovative monitoring technologies intended to improve agricultural conditions in Africa, with a focus on Botswana, and addresses the Internet of Things (IoT) as a set of remote monitoring protocols using WSNs to improve and ensure proper environmental maintenance. In this book, the author introduces WSNs, and how the IoT can be applied to develop a system of "smart agriculture" in Africa, taking into account livestock health, climate change impacts on crops and wildlife, and technological innovations in response to climate change such as windmills and solar panels. The book will be interesting to students and researchers in engineering and life sciences, as well as practitioners working with sensing technologies for agricultural monitoring and improvement.