Prashant telvekar (45 resultados)

Hardcover. Condición: new. Hardcover. Fishery products are crucial in ensuring food security and nutrition strategies at all levels. Fish possess significant potential to serve as a valuable alternative source of protein in lieu of livestock and poultry. The global fishing industry has facing challenges such as scarcity of labor, the deterioration of aquaculture water quality, outdated aquaculture methods, human activities, industrial pollution, and an increased occurrence of diseases in aquatic products. Concurrently, the appropriate areas for aquaculture will gradually decrease, leading to a decline in the profitability per unit of land. Insufficient scientific and technological innovation and engineering technical support exist throughout the entire fishery industry chain. Insufficient fundamental research and theoretical understanding exist regarding the interaction between biological environments and the integration of engineering processes. The progress in aquaculture engineering, mechanization, information technology, and equipment construction is significantly inadequate. The solution to these problems is Smart aquaculture involving intelligence and automation. A smart solution to address these gaps in the aquaculture ecosystem is a blended approach a combination of human and technological intervention to ensure that farmers are aware of the best practices prevalent in aquaculture. Smart technology is the key to better productivity and disease management. From the internet of things (IoT) and artificial intelligence (AI) to remotely operated vehicles (ROVs), Intelligent fish farms, Climate Smart aquaculture, Nanotechnology applications in aquauclture systems to effective drug delivery for fish health management and in seafood processing, remote satellite imagery, these new technologies are being leveraged by several emerging players to combat the existing challenges in aqua farming and enhance overall production. Modern intelligent technologies hold prospects in aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. Moreover, there are numerous components of smart aquaculture, such as the collection of information through a variety of temperature, dissolved oxygen, humidity, light, and pH sensors to manage the water quality parameters in the aquaculture system; the transmission of the collected data to the control center via communication nodes; the analysis of data and decision-making stored in cloud platforms; the feedback of decision-making to each execution equipment; and the intelligence to operate a system automatically in order to develop aquaculture in a sustainable and efficient manner that is environmentally friendly. Smart aquaculture fuses AI, IoT, remote sensing, and nanotech to transform fish farming. Tackling water quality issues, labor shortages, and environmental pressures, this integrated approach blends human expertise with technology to elevate productivity, control diseases, and promote eco-friendly practices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: Brand New. 308 pages. 9.00x6.00x9.02 inches. In Stock.

Hardcover. Condición: Brand New. 277 pages. 9.00x6.00x9.20 inches. In Stock.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: New.

Hardcover. Condición: Brand New. 248 pages. 9.00x6.00x9.14 inches. In Stock.

Hardback. Condición: New. Tilapia farming has seen significant growth worldwide, becoming the second most farmed fish. It contributes to food security, especially in developing countries, providing cheap animal protein. Tilapia is easy to grow, environmentally friendly, and adaptable to various conditions. Different farming techniques are used, with efforts to control reproduction for better growth. Genetic improvements and shifting farming procedures enhance its production. Choosing the right method remains a challenge but can be overcome with proper planning and support. Tilapia is an important fish species for aquaculture in many countries due to its minimal requirements and flexible behavior. It can be easily cultured in diverse aquaculture systems and has been cultivated since ancient times. Tilapia's adaptability to various environments, including flooded regions, cages, and ponds, makes it a popular choice for large-scale production. The book provides valuable insights into tilapia farming techniques, biology, and advances in the field, making it a useful guide for students and researchers interested in aquaculture and tilapia production.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. Fishery products are crucial in ensuring food security and nutrition strategies at all levels. Fish possess significant potential to serve as a valuable alternative source of protein in lieu of livestock and poultry. The global fishing industry has facing challenges such as scarcity of labor, the deterioration of aquaculture water quality, outdated aquaculture methods, human activities, industrial pollution, and an increased occurrence of diseases in aquatic products. Concurrently, the appropriate areas for aquaculture will gradually decrease, leading to a decline in the profitability per unit of land. Insufficient scientific and technological innovation and engineering technical support exist throughout the entire fishery industry chain. Insufficient fundamental research and theoretical understanding exist regarding the interaction between biological environments and the integration of engineering processes. The progress in aquaculture engineering, mechanization, information technology, and equipment construction is significantly inadequate. The solution to these problems is Smart aquaculture involving intelligence and automation. A smart solution to address these gaps in the aquaculture ecosystem is a blended approach a combination of human and technological intervention to ensure that farmers are aware of the best practices prevalent in aquaculture. Smart technology is the key to better productivity and disease management. From the internet of things (IoT) and artificial intelligence (AI) to remotely operated vehicles (ROVs), Intelligent fish farms, Climate Smart aquaculture, Nanotechnology applications in aquauclture systems to effective drug delivery for fish health management and in seafood processing, remote satellite imagery, these new technologies are being leveraged by several emerging players to combat the existing challenges in aqua farming and enhance overall production. Modern intelligent technologies hold prospects in aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. Moreover, there are numerous components of smart aquaculture, such as the collection of information through a variety of temperature, dissolved oxygen, humidity, light, and pH sensors to manage the water quality parameters in the aquaculture system; the transmission of the collected data to the control center via communication nodes; the analysis of data and decision-making stored in cloud platforms; the feedback of decision-making to each execution equipment; and the intelligence to operate a system automatically in order to develop aquaculture in a sustainable and efficient manner that is environmentally friendly. Smart aquaculture fuses AI, IoT, remote sensing, and nanotech to transform fish farming. Tackling water quality issues, labor shortages, and environmental pressures, this integrated approach blends human expertise with technology to elevate productivity, control diseases, and promote eco-friendly practices. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New.

Condición: New.

Condición: New. In English.

Hardback. Condición: New. Tilapia farming has seen significant growth worldwide, becoming the second most farmed fish. It contributes to food security, especially in developing countries, providing cheap animal protein. Tilapia is easy to grow, environmentally friendly, and adaptable to various conditions. Different farming techniques are used, with efforts to control reproduction for better growth. Genetic improvements and shifting farming procedures enhance its production. Choosing the right method remains a challenge but can be overcome with proper planning and support. Tilapia is an important fish species for aquaculture in many countries due to its minimal requirements and flexible behavior. It can be easily cultured in diverse aquaculture systems and has been cultivated since ancient times. Tilapia's adaptability to various environments, including flooded regions, cages, and ponds, makes it a popular choice for large-scale production. The book provides valuable insights into tilapia farming techniques, biology, and advances in the field, making it a useful guide for students and researchers interested in aquaculture and tilapia production.…

Hardcover. Condición: new. Hardcover. Fishery products are crucial in ensuring food security and nutrition strategies at all levels. Fish possess significant potential to serve as a valuable alternative source of protein in lieu of livestock and poultry. The global fishing industry has facing challenges such as scarcity of labor, the deterioration of aquaculture water quality, outdated aquaculture methods, human activities, industrial pollution, and an increased occurrence of diseases in aquatic products. Concurrently, the appropriate areas for aquaculture will gradually decrease, leading to a decline in the profitability per unit of land. Insufficient scientific and technological innovation and engineering technical support exist throughout the entire fishery industry chain. Insufficient fundamental research and theoretical understanding exist regarding the interaction between biological environments and the integration of engineering processes. The progress in aquaculture engineering, mechanization, information technology, and equipment construction is significantly inadequate. The solution to these problems is Smart aquaculture involving intelligence and automation. A smart solution to address these gaps in the aquaculture ecosystem is a blended approach a combination of human and technological intervention to ensure that farmers are aware of the best practices prevalent in aquaculture. Smart technology is the key to better productivity and disease management. From the internet of things (IoT) and artificial intelligence (AI) to remotely operated vehicles (ROVs), Intelligent fish farms, Climate Smart aquaculture, Nanotechnology applications in aquauclture systems to effective drug delivery for fish health management and in seafood processing, remote satellite imagery, these new technologies are being leveraged by several emerging players to combat the existing challenges in aqua farming and enhance overall production. Modern intelligent technologies hold prospects in aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. Moreover, there are numerous components of smart aquaculture, such as the collection of information through a variety of temperature, dissolved oxygen, humidity, light, and pH sensors to manage the water quality parameters in the aquaculture system; the transmission of the collected data to the control center via communication nodes; the analysis of data and decision-making stored in cloud platforms; the feedback of decision-making to each execution equipment; and the intelligence to operate a system automatically in order to develop aquaculture in a sustainable and efficient manner that is environmentally friendly. Smart aquaculture fuses AI, IoT, remote sensing, and nanotech to transform fish farming. Tackling water quality issues, labor shortages, and environmental pressures, this integrated approach blends human expertise with technology to elevate productivity, control diseases, and promote eco-friendly practices. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condición: Neu. Smart Aquaculture | Prashant Telvekar | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Delve Publishing | EAN 9781779564054 | Verantwortliche Person für die EU: Mare Nostrum Group B.V., Doelen 72, 4831 GR BREDA, NIEDERLANDE, gpsr[at]mare-nostrum[dot]co[dot]uk | Anbieter: preigu. …

Hardback. Condición: New. Fishery products are crucial in ensuring food security and nutrition strategies at all levels. Fish possess significant potential to serve as a valuable alternative source of protein in lieu of livestock and poultry. The global fishing industry has facing challenges such as scarcity of labor, the deterioration of aquaculture water quality, outdated aquaculture methods, human activities, industrial pollution, and an increased occurrence of diseases in aquatic products. Concurrently, the appropriate areas for aquaculture will gradually decrease, leading to a decline in the profitability per unit of land. Insufficient scientific and technological innovation and engineering technical support exist throughout the entire fishery industry chain. Insufficient fundamental research and theoretical understanding exist regarding the interaction between biological environments and the integration of engineering processes. The progress in aquaculture engineering, mechanization, information technology, and equipment construction is significantly inadequate. The solution to these problems is Smart aquaculture involving intelligence and automation. A smart solution to address these gaps in the aquaculture ecosystem is a blended approach - a combination of human and technological intervention to ensure that farmers are aware of the best practices prevalent in aquaculture. Smart technology is the key to better productivity and disease management. From the internet of things (IoT) and artificial intelligence (AI) to remotely operated vehicles (ROVs), Intelligent fish farms, Climate Smart aquaculture, Nanotechnology applications in aquauclture systems to effective drug delivery for fish health management and in seafood processing, remote satellite imagery, these new technologies are being leveraged by several emerging players to combat the existing challenges in aqua farming and enhance overall production. Modern intelligent technologies hold prospects in aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. Moreover, there are numerous components of smart aquaculture, such as the collection of information through a variety of temperature, dissolved oxygen, humidity, light, and pH sensors to manage the water quality parameters in the aquaculture system; the transmission of the collected data to the control center via communication nodes; the analysis of data and decision-making stored in cloud platforms; the feedback of decision-making to each execution equipment; and the intelligence to operate a system automatically in order to develop aquaculture in a sustainable and efficient manner th.…

Condición: new.

Condición: Used.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: Used.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: Used.

Condición: New.

Condición: New.

Condición: New. 2025. library. . . . . .