Precision Irrigation Techniques for Optimizing Water Use Efficiency in Agriculture
Ram Gopal
Directorate of Extension, Andua & T, Kumarganj, Ayodhya - 224229 (U.P.), India.
N. K. Singh *
ICAR-ATARI-Krishi Vigyan Kendra, Pratapgarh, Uttar Pradesh- 229408, India.
Ashoka, P
Department of Agronomy, College of Agriculture (Universietey of Agriculture Science, Dharwad) Hanumanmatti (p) Ranebennur (tq), Haveri (District)– 581 115, Karanataka State, India.
Vivek Yadav
Rice Research Station Nagina, Bijnor (U.P.), India.
Lalita Kumar Mohanty
KVK Jajpur Odisha University of Agriculture and Technology Bhubaneswar Odisha, India.
Narinder Panotra
Institute of Biotechnology, SKUAST Jammu, J&K-180009, India.
Shashidhar, K. S.
Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur 231307, India.
Jeetendra Kumar
Soil and Water Engineering, Krishi Vigyan Kendra, Gandhar, Jehanabad-804432, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, India.
Priyanka Anand
Institute of Biotechnology SKUAST Jammu J&K -180009, India.
Deepak Pathania
Department of Environmental Sciences, Govt. SPMR College of Commerce Jammu, Jammu and Kashmir, India.
*Author to whom correspondence should be addressed.
Abstract
Water scarcity represents one of the most critical challenges facing global agriculture in the 21st century. This comprehensive review examines precision irrigation techniques as transformative solutions for optimizing water use efficiency in agricultural systems. The study analyzes advanced irrigation methodologies including drip irrigation, sprinkler systems, sensor-based automation, and smart irrigation technologies integrated with Internet of Things (IoT) platforms. Through systematic evaluation of field implementations across diverse agro-climatic conditions in India, results demonstrate water savings ranging from 30-65% while maintaining or enhancing crop yields. Key findings reveal that precision irrigation systems equipped with soil moisture sensors, weather-based controllers, and variable rate technology significantly improve water productivity compared to conventional flood irrigation methods. The integration of remote sensing, machine learning algorithms, and decision support systems enables real-time monitoring and adaptive irrigation scheduling based on actual crop water requirements. Economic analysis indicates positive benefit-cost ratios exceeding 2.5:1 for most precision irrigation investments within 3-5 year payback periods. However, challenges remain regarding initial capital requirements, technical expertise needs, and infrastructure limitations in developing regions. This review provides evidence-based recommendations for stakeholders to accelerate adoption of precision irrigation technologies, emphasizing the critical role of policy support, farmer training programs, and public-private partnerships in achieving sustainable water management goals while ensuring food security for growing populations.
Keywords: Precision irrigation, water use efficiency, drip irrigation, smart agriculture, Iot sensors