Role of Irrigation for Sustainable Food Production: outcomes of Second World Irrigation Forum

2017 ◽  
Vol 66 (2) ◽  
pp. 289-290 ◽  
Author(s):  
Avinash C. Tyagi
Keyword(s):  
Food Production ◽  
Sustainable Food ◽  
Sustainable Food Production ◽  
Second World

The role of indigenous tillage systems in sustainable food production

1991 ◽  
Vol 8 (1-2) ◽  
pp. 149-155 ◽  
Author(s):  
G. Rajaram ◽  
D. C. Erbach ◽  
D. M. Warren
Keyword(s):  
Food Production ◽  
Tillage Systems ◽  
Sustainable Food ◽  
Sustainable Food Production

scholarly journals Recent Scope for AI in the Food Production Industry Leading to the Fourth Industrial Revolution

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 1066-1080
Author(s):  
Elham Tahsin Yasin ◽  
Nawroz I. Hamadamen ◽  
Ganesh Babu Loganathan ◽  
Manikandan Ganesan
Keyword(s):  
Computer Vision ◽  
Food Processing ◽  
Food Production ◽  
Food Industry ◽  
Industrial Revolution ◽  
Sustainable Food ◽  
Sustainable Food Production ◽  
Feed The Future ◽  
Deep Learning Model

In today's situation, Artificial intelligence and computer vision collectively join together to analyze the big data obtained from predicted models. The role of AI in the agri-based food industry helps the stakeholders to access and monitor the supply chain. The phenomenon of applying AI and computer vision in the food industry would improve the entire operations. This research paper tries to provide an assisting model for farmers in food-processing and agriculture through the state-of-the-art method. Several concepts related to sustainability in food processing have been estimated through machine learning, and the deep learning model as a worldwide concept. The demand for the usage of AI and computer vision in the Ag-TECH industry has increased which impacts sustainable food production to feed the future. Certain implications have been suggested for real-time monitoring of the farming process, politics behind sustainable food production, and investment which is the main game-player in the present situation. The 4th Industrial Revolution [IR-4.0] was ushered in by the deployment of computer vision and AI in the food business, with computer vision robotics playing a crucial role in ensuring sustainable food production.

scholarly journals Actions on sustainable food production and consumption for the post-2020 global biodiversity framework

2021 ◽  
Vol 7 (12) ◽  
pp. eabc8259
Author(s):  
Izabela Delabre ◽  
Lily O. Rodriguez ◽  
Joanna Miller Smallwood ◽  
Jörn P. W. Scharlemann ◽  
Joseph Alcamo ◽  
...  
Keyword(s):  
Food Production ◽  
Food Systems ◽  
Transformative Change ◽  
Political Commitment ◽  
Sustainable Food ◽  
Sustainable Food Production ◽  
The United Kingdom ◽  
Production And Consumption ◽  
Barriers And Opportunities ◽  
Sustainability Standards

Current food production and consumption trends are inconsistent with the Convention on Biological Diversity’s 2050 vision of living in harmony with nature. Here, we examine how, and under what conditions, the post-2020 biodiversity framework can support transformative change in food systems. Our analysis of actions proposed in four science-policy fora reveals that subsidy reform, valuation, food waste reduction, sustainability standards, life cycle assessments, sustainable diets, mainstreaming biodiversity, and strengthening governance can support more sustainable food production and consumption. By considering barriers and opportunities of implementing these actions in Peru and the United Kingdom, we derive potential targets and indicators for the post-2020 biodiversity framework. For targets to support transformation, genuine political commitment, accountability and compliance, and wider enabling conditions and actions by diverse agents are needed to shift food systems onto a sustainable path.

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