Affiliation:
1. ICAR-National Rice Research Institute, Cuttack, Odisha, India
Abstract
Enhancing the productivity of crops while reducing the environmental footprint are the major challenges especially for rice farming. Precison farming helps in optimising inputs such as fertilizers and water in tune with crop requirement recognizing the spatial and temporal variabilities within and across field. The precision tools viz. Remote sensing, site specific nutrient management systems, global positioning system (GPS), geographical information system (GIS), variable rate applicator, models and decision support system are used for implementing precision rice farming. The precision nutrient management technology like site specific nutrient management options, using sensors for estimating nutrient content in soil and crop and estimating the spatial variability of nutrients and mapping for variable rate fertiliser application helps in achieving the higher nutrient use efficiency compared to conventional practices. Similarly the precision water management such as sensors for moisture content determination and irrigation scheduling increases the water use efficiency. This paper covers the progress made in PF technologies for nutrient and water management focussing on challenged and opportunities in adoption of these technologies.
Publisher
Association of Rice Research Workers
Reference103 articles.
1. Abd-Kharim MN, Wayayok A, Mohamed Shariff AR and Abdullah AF (2019). Preliminary study of variable rate application-organic liquid fertilizer by using SPAD chlorophyll meter on System of Rice Intensification (SRI) cultivation. Commun. Soil Sci. Plant Anal. pp. 1-1
2. Adhikari C, Bronson KF, Panaullah GM, Regmi AP, Saha PK, Dobermann A, Olk DC and Hobbs Fan X (1999). Perceptions, risk attitude and organic fertilizer investment: Evidence from Rice and Banana Farmers in Guangxi, China. Sustainability 64(3) : 273-286
3. Ali AM and Thind HS (2015). A framework for refining nitrogen management in dry direct-seeded rice using GreenSeeker™ optical sensor. Computers and Electronics in Agriculture 110: 114-20
4. Allen JD (1990). "A Look at the Remote Sensing Applications Program of the National Agricultural Statistics Service." Journal of Official Statistics 6(4): 393
5. Amin F, Razdan VK, Mohiddin FA, Bhat KA and Sheikh PA (2010). Effect of volatile metabolites of Trichoderma species against seven fungal plant pathogens in-vitro. J. phytol. 2(10): 34-37
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献