ISBN No :- 978-81-967339-0-2
Precision agriculture is an agricultural management approach that uses technology and data to optimize crop production and reduce waste. The goal of precision agriculture is to increase efficiency and profitability while reducing the environmental impact on agriculture. Precision agriculture relies on various technologies, such as sensors, GPS mapping, drones, and machine learning, to collect and analyze data on soil moisture, nutrient levels, crop growth, and other variables. Precision agriculture allows farmers to tailor their management practices to the specific needs of each field or even individual plants.
Precision agriculture can also help farmers to detect and manage crop diseases and pests more effectively, using sensors and data analytics to identify and respond to issues before they become widespread. However, the adoption of precision agriculture has been slower in some areas due to factors such as cost, lack of infrastructure, and limited access to data and technology. As such, there is a need for continued research, investment, and education to support the growth of precision agriculture and enable farmers to benefit from its full potential.
With the advancement of research and development in precision agriculture, there is a need to compile all the information in one place so that every scholar and researcher can have a substantial understanding of all the aspects of precision agriculture and contribute towards the development of smart agriculture. Hence, we have planned a book entitled “Precision Agriculture Towards Smart Future” by editors Sanjeev Kumar, Sourabh Kumar and Nitin Gudadhe to cover all aspects of precision agriculture. Hence, book chapters are invited from interested authors as per the attached contents of the book.
1. Precision agriculture
2. Precision farming
3. Smart farming
4. Agriculture technology
5. Data analysis
6. Sensors
7. GPS mapping
8. Drones
9. Machine learning
10. Soil moisture
11. Nutrient levels
12. Crop growth
13. Management practices
14. GPS-guided tractors
15. Fertilizer optimization
16. Crop diseases
17. Pest management
18. Environmental impact
19. Sustainability
20. Food demand
21. Infrastructure
22. Data access
23. Investment
24. Artificial Intelligence
Precision agriculture | Smart farming |
Sensors | Environmental impact |
Sustainability |
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