Precision Irrigation Management
Precision irrigation management uses advanced technology, sensors, and data analysis to optimize water usage in farming. This method ensures crops receive the right amount of water at the right time, reducing waste and maximizing efficiency. It involves the use of moisture sensors to detect soil moisture levels and weather forecasts to predict water requirements. By reducing water consumption and increasing yield, precision irrigation helps conserve water resources, which is crucial in water-scarce regions. This technique is especially beneficial in regions facing drought or irregular rainfall, allowing farmers to maintain consistent crop growth while saving water and resources. In addition, it contributes to sustainable agricultural practices by minimizing environmental impacts and lowering operational costs.
Dachang Zhang
Water & Eco Crisis Foundation, United States
Srinivasa Rao Mentreddy
Alabama A&M University, United States
Usha R Palaniswamy
Maria College, United States
Dilip Nandwani
Tennessee State University, United States
Stephen Jennewein
University of Florida, United States
Fabio Gresta
University of Messina, Italy
Nedyalka Valcheva
Vocational High School, BulgariaSubmit your abstract Today
Title : Climate change greenhouse gas (CO2) impact – agriculture crop production: Quality improvement
Madhusudan H Fulekar, Research & Development Cell, Parul University, India
Title : Teaching food and nutrition security as a critical concern in higher education capstone
Usha R Palaniswamy, Maria College, United States
Title : Current status of precision agriculture in the USA
Kasiviswanathan Muthukumarappan, South Dakota State University, United States
Title : Advances in Indian agriculture and horticulture
V P S Arora, Kumaun University, India
Title : Markers of PM produced by biomass combustion and development of a sampling and analysis technique
Enrico Paris , CREA-IT , Italy
Title : Agroecological practices and their effects on ecosystem services in sustainable mediterranean cropping systems
Fabio Gresta, University of Messina, Italy