Precision Agriculture for Sustainability: Use of Smart Sensors, Actuators, and Decision Support Systems
Precision Agriculture for Sustainability: Use of Smart Sensors, Actuators, and Decision Support Systems
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- More about Precision Agriculture for Sustainability: Use of Smart Sensors, Actuators, and Decision Support Systems
The book explores how modern technologies such as GPS, drones, image processing methods, AI, machine learning, and deep learning are being used to make agriculture more farmer-friendly and economically profitable. It focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and yield prediction, soil quality, nutrition requirement prediction, and robotic-based innovations.
Format: Hardback
Length: 472 pages
Publication date: 13 February 2024
Publisher: Apple Academic Press Inc.
This captivating new book takes readers on a fascinating journey into the world of modern technologies, exploring their profound impact on agriculture. By harnessing the power of global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning, the authors aim to make farming more accessible, efficient, and economically lucrative for farmers.
The volume is centered around the innovative use of smart sensors, actuators, and decision support systems to gather intelligent data about crop health, enabling accurate yield prediction, soil quality monitoring, and nutrient requirement estimation. The authors delve into the realm of robotic-based innovations in agriculture, discussing the role of drones in precision spraying, autonomous tractors for efficient land management, and robotic arms for harvesting crops.
Furthermore, the book explores soft computing methodologies for crop forecasting, leveraging advanced algorithms to analyze vast amounts of data and make precise predictions. Machine learning techniques are employed to classify and identify plant diseases, while deep convolutional neural networks are utilized to recognize nutrient deficiencies in crops.
The authors also shed light on the potential of blockchain technology in agriculture, discussing its role in traceability, supply chain management, and ensuring fair trade practices. They emphasize the importance of sustainable agriculture and the role of technology in promoting environmentally friendly practices.
In conclusion, this groundbreaking book offers a comprehensive exploration of the latest technologies in agriculture, providing valuable insights for farmers, researchers, and policymakers alike. By leveraging the power of modern technologies, agriculture can become more sustainable, efficient, and resilient, ensuring food security for a growing global population.
Weight: 1093g
Dimension: 234 x 156 (mm)
ISBN-13: 9781774913734
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