Agriculture and food production systems face the common challenge of achieving all 17 sustainable development goals (SDGs). To achieve the SDGs, the Tsukuba Conference (TC) and Tsukuba Global Science Week (TGSW) organize global platforms to determine future policy challenges. This book is the outcome of our yearly efforts to address agricultural challenges, new developments to address climate change, and increased food production to meet global demands. Investing in the agricultural sector can address not only hunger and malnutrition but also other challenges, including poverty, water and energy use, climate change, and unsustainable production and consumption. To increase agricultural productivity, artificial intelligence (AI), machine learning (ML), and deep learning (DL) have led to the development of new prediction strategies for crop production, livestock development, and fisheries from pre-harvest to post-harvest levels. These digital innovations contribute to achieving the SDGs and Society 5.0.
Description:
Agriculture and food production systems face the common challenge of achieving all 17 sustainable development goals (SDGs). To achieve the SDGs, the Tsukuba Conference (TC) and Tsukuba Global Science Week (TGSW) organize global platforms to determine future policy challenges. This book is the outcome of our yearly efforts to address agricultural challenges, new developments to address climate change, and increased food production to meet global demands. Investing in the agricultural sector can address not only hunger and malnutrition but also other challenges, including poverty, water and energy use, climate change, and unsustainable production and consumption. To increase agricultural productivity, artificial intelligence (AI), machine learning (ML), and deep learning (DL) have led to the development of new prediction strategies for crop production, livestock development, and fisheries from pre-harvest to post-harvest levels. These digital innovations contribute to achieving the SDGs and Society 5.0.