DIGITAL TWINS IN SMART FARMING for crop livestock feeding breeding.pptx
AbulHasnatSolaiman
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7 slides
May 18, 2025
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About This Presentation
A digital twin in smart farming refers to a virtual model of a farm, crops, or animals, that is based on real-time data from sensors, weather forecasts, and other sources. By creating a digital twin, farmers and agricultural experts can simulate and analyze various scenarios and make more informed d...
A digital twin in smart farming refers to a virtual model of a farm, crops, or animals, that is based on real-time data from sensors, weather forecasts, and other sources. By creating a digital twin, farmers and agricultural experts can simulate and analyze various scenarios and make more informed decisions.��For example, a digital twin can be used to simulate how changes in weather conditions or soil moisture levels will affect crop growth and yield. It can also be used to monitor the health and behavior of livestock, predict potential diseases, and optimize feeding and breeding programs.
Size: 556.72 KB
Language: en
Added: May 18, 2025
Slides: 7 pages
Slide Content
WELCOME TO MY PRESENTATION Md. Morsalin Islam Reg No: 16-07096 Roll No: 818 Department Of Horticulture Sher -e- Bangla Agricultural University,Dhaka
Digital Twins In Smart Farming A digital twin in smart farming refers to a virtual model of a farm, crops, or animals, that is based on real-time data from sensors, weather forecasts, and other sources. By creating a digital twin, farmers and agricultural experts can simulate and analyze various scenarios and make more informed decisions. For example, a digital twin can be used to simulate how changes in weather conditions or soil moisture levels will affect crop growth and yield. It can also be used to monitor the health and behavior of livestock, predict potential diseases, and optimize feeding and breeding programs.
Importance Of Digital Twins in Smart Farming in Bangladesh Agriculture is the backbone of Bangladesh's economy, employing over 40% of the labor force and contributing to 14% of the country's GDP. Digital twins can help farmers in Bangladesh make more informed decisions, increase productivity, and reduce costs. By simulating different scenarios, digital twins can optimize agricultural practices for specific crops and local conditions. Digital twins can help monitor soil moisture, temperature, and other environmental factors, and predict potential diseases or crop failures. By using digital twins, farmers can reduce the use of water and fertilizers, improve crop yields and quality, and increase their income.
Tentative Of Digital Twins in Smart Farming Crop Management: Digital twins can be used to model crop growth, predict yield, and optimize irrigation and fertilization. Livestock Monitoring: This can help farmers to provide better care for their animals, reduce disease outbreaks, and improve overall productivity. Equipment Optimization: Digital twins can be used to simulate the performance of farm machinery, this can help farmers to reduce downtime, increase efficiency, and improve profitability. Environmental Impact: By using this environmental information, farmers can implement sustainable farming practices that reduce their environmental footprint.
Comment On Digital Twins In Smart Farming Overall, digital twins have the potential to revolutionize the way farmers manage their operations, leading to more sustainable and efficient agriculture It also impact of these: Digital twins can be used in smart farming to model crops, livestock, and equipment By creating a digital twin of a farm, farmers can optimize operations, improve productivity, and reduce the cost .