This article is based on the 2007 study “Assessing and Increasing the Readiness of Selected LGUs in CALABARZON for Precision Agriculture” by D. Medrana.
Just enough is more.
The farming sector took this principle to come up with
Precision Agriculture (PA), a viable and holistic farming system to produce more with just enough resources.
PA relies on spatial information to identify the variability within a field, and manage such variability to optimize profit and production while minimizing the adverse environmental impacts.
With PA, farmers can vary input use and cultivation methods including the application of seeds, fertilizers, pesticides and water; variety selection; planting; tillage; and harvesting to match the varying soil and crop conditions across a field (Srinivasan 2002). This would normally result in input savings and higher productivity.
PA also serves as a decision support tool by providing site-specific information like climatic condition, and the suitability of a crop or a cropping system in a given locality among others.
In a world where globalization has added intricacy to concerns on food insecurity and natural resource degradation, precision in agriculture can be viable development response.
Can we get a bit more precise?
While PA offers tremendous farm productivity improvements, its adoption among farmers in the developing world is still very low. One contention is that its benefits may not be sufficient to justify the entailed cost of PA equipment.
Indeed, for Filipino farmers, most of whom are smallholders with an average farm size of 2.5 ha (IFAD 2006), the savings on inputs from PA may not be very significant as to cover the cost of modern tools.
Nevertheless, the principle behind PA is highly applicable in the developing world. But for it to be viable in the Philippines, it should build on the existing technology and resource endowments. Even the use of traditional and existing modern technologies in the Philippines in PA can attain some level of precision.
Hence, “Yes, we can get a bit more precise.”
Precision means benefitsIn PA, greater precision means greater possibility of benefits. This means that developing countries, with their relatively lack of precision technology, can only attain a certain level of precision. But just how precise can we actually get?
This question is best answered by actual developing country experiences. For example, from 1997 to 2000, on-farm experiments at 179 sites in eight irrigated rice countries (Dobermann et. al. 2004) evaluated the performance of site-specific nutrient management (SSNM). SSNM was found to be most profitable at sites in China, Southern India, and the Philippines, with average profit increases ranging from US $57 to US $82 / ha per crop.
In the Philippines, precision is a principle highly valued by sugarcane farmers in the provinces of Negros, Tarlac, Bukidnon and Batangas, four of the Philippines’ largest sugarcane producers.
Precise information on soil types; slopes; elevation; land use; climate; and input-output records such as fertilizer, irrigation, variety, planting, and harvesting dates, pest and diseases guide sugarcane farmers in making critical farm decisions.
The maps produced by the geographical information system (GIS), a component technology of PA have also become useful references in making lease agreements.
Given its potential benefits to the agriculture and natural resources sectors, PA could be one of the most effective strategies to achieve sustainable development in the third world. Developing countries may not get as precise as the developed countries, but at least, some level of precision earns some level of additional benefits. (D. Medrana, S&T Media Service)
References:
Dobermann, Achim, Simon Blackmore, Simon E. Cook, Viacheslav I. Adamchuk. 2004. Precision Farming: Challenges and Future Directions. A paper published in "New directions for a diverse planet," proceedings of the 4th International Crop Science Congress, 26 Sep – 1 Oct 2004. Brisbane, Australia. Published on CDROM.
IFAD (International Fund for Agricultural Development). 2006. Geography, agriculture and the economy of the Philippines. An article posted at the Rural Poverty Portal, http://www.ruralpovertyportal.org last accessed February 2007.
Srinivasan, Ancha. 2002. Precision Agriculture, Modeling and Land Use Planning. Institute for Global Environmental Studies. Japan.