Research Article | Volume: 4, Issue: 6, Nov-Dec, 2016
Precision Farming: The Future of Indian Agriculture
Research Article | Volume: 4, Issue: 6, Nov-Dec, 2016
Precision Farming: The Future of Indian Agriculture
Precision Farming or Precision Agriculture is generally defined as information and technology based farm management system to identify, analyse and manage spatial and temporal variability within fields for optimum productivity and profitability, sustainability and protection of the land resource by minimizing the production costs. Increasing environmental consciousness of the general public is necessitating us to modify agricultural management practices for sustainable conservation of natural resources such as water, air and soil quality, while staying economically profitable. The use of inputs (i.e. chemical fertilizers and pesticides) based on the right quantity, at the right time, and in the right place. This type of management is commonly known as “Site-Specific Management”. The productivity gain in global food supply have increasingly relied on expansion of irrigation schemes over recent decades, with more than a third of the world's food now requiring irrigation for production. All-together, market-based global competition in agricultural products is challenging economic viability of the traditional agricultural systems, and requires the development of new and dynamic production systems.
Abdul Hakkim V.M, Abhilash Joseph E., Ajay Gokul AJ, Mufeedha K. Precision Farming: The Future of Indian Agriculture. J App Biol Biotech. 2016; 4 (06): 068-072. DOI: 10.7324/JABB.2016.40609
1. Shibusawa S. Precision farming approaches to small farm agriculture. Agro-Chemicals Report. 2002; 2(4):13-20.
2. Fountas S, Ess D, Sorensen CG, Hawkins S, Pedersen HH, Blackmore S, Deboer LJ, Farmer experience with Precision Agriculture in Denmark and US Eastern Corn Belt. Precision Agriculture. 2004.
3. Lang L. GPS, GIS, remote sensing: An overview. Earth Observation Magazine. 1992; 23-26.
4. Batte MT, Van Buren FN. Precision farming – Factor influencingproductivity. In Northern Ohio Crops Day meeting, Wood County, Ohio, 21 Jan. 1999.
5. Chen F, Kissel DE, Clark R, West LT, Rickman D, Luval J, Adkin W. Determining surface soil clay concentration at a field scale for precision agriculture, University of Georgia, Huntsville. 1997.
6. Trimble. 2005. Precision agriculture. Available at: www.trimble.com.
7. Berntsen J, Thomsen A, Schelde K, Hansen OM, Knudsen L, Broge N, Hougaard H, Horfarter R. Algorithms for sensor-based redistribution of nitrogen fertilizer in winter wheat. Precision Agriculture. 2006; 7: 65-83.
8. Ferguson R., Dobermann, A. and Schepers, J. 2007. Precision agriculture: site-specific nitrogen management for irrigated corn. University of Nebraska Lincoln Extension. Bulletin.1-7.
9. Adamchuk VI, Hummel JW, Morgan MT, Upadhyaya SK. On-the-go soil sensors for precision agriculture. Computers and Electronics in Agriculture. 2004; 44: 71-91.
10. Davis G, Massey R, Massey R. Precision agriculture: An introduction. www.muextension.missouri.edu/explore/envqual/ wq0450.htm. 2005.
11. Bowman K. Economic and environmental analysis of converting to controlled traffic farming, In 6th Australian Controlled Traffic Farming Conference, 2008. 61-68.
12. Njoroge JB, Ninomiya K, Kondo N. Automated fruit grading system using image processing, In Proceedings of the 41st SICE Annual Conference. 2002; 1346-1351.
13. Doruchowski G, Balsari P, Zande JC. Precise spray application in fruit growing according to crop health status, target characteristics and environmental circumstances; Proc. of 8th Fruit, Nut and Vegetable Production Engineering Symposium, Concepcion-Chile. 2009; 494-502.
14. Ojeda H, Carrillo N, Deis L. Precision viticulture and water status II: Quantitative and qualitative performance of different within field zones, defined from water potential mapping, in XIV International GESCO Viticulture Congress, Geisenheim, Germany, 2005. 741-748.
15. Ferreiro-Arman M, Da Costa JP, Homayouni S. Hyperspectral image analysis for precision viticulture, In Image Analysis and Recognition, Springer Berlin Heidelberg. 2006; pp. 730-741.
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