mobile app will help in efficient planting cassavaTechnology was developed by researchers at the Program to Support Scientific Initiation of Fapeam.
Developed under the Support Program for Scientific Initiation (Pack) the Foundation for the State of Amazonas Research (Fapeam), prototype of a mobile application can assist in more efficient planting cassava in the state.
The technology was created by Science student at North University Center Computer (Uninorte), Rodrigo Silva, under the guidance of the Embrapa researcher of the Western Amazon, Mark Philip Salame, in the study entitled "Using machine learning to mine data on cassava research for extracting patterns and knowledge relevant to the strategic decision making".
The expectation is that the technology is available for free in the Google Play store later this year. The App was developed to run on phones with Android system.
The research intended to use techniques and computational resources to assist in decision-making of farmers and, in this way, contribute to the productivity of cassava in the state. According to the study advisor, the techniques used were machine learning (development of algorithms that allow the learning machine without being explicitly programmed), data mining, among others.
"In few words, Data mining is the process of exploring large amounts of data looking for information. Mining data from information collected over the years by Embrapa and identified a large gap related to soil preparation on the part of farmers', Salami said.
Nutrition – No Amazon, as researcher, the soil is not "very suitable" for planting, having to be properly nourished. Nutrition by producers was made improperly, resulting in wastage and low productivity. The proposed mobile application will be used to get a recommendation from liming and fertilization of the soil from the chemical analysis for a more efficient planting cassava.
"We hope that publications can provide ideas and stimulate new jobs following this computer area applied to agriculture, also known as agroinformática, facilitate and strengthen the integration between the areas to occur more support and less strength and the developed application, when available on the market, can be of great use to Amazon farmers and technicians ", explained researcher.
Finalist in Computer Science course, Rodrigo Silva has participated in two editions of PAIC (2014-2015/2015-2016). He said the program encouraged to continue research. The student wants to start a master's degree next year and continue researching on computing applied to agriculture. "I learned a lot, It was super rewarding. I could see in practice how to use all the theory we learn in college ", said the young researcher.
Over the work, the group directed by researcher Mark Salame obtained publications and research line with cassava managed two publications. An X in the Brazilian Congress of Agroinformática, conducted in the state of Parana and one in XII Scientific Initiation Day of Embrapa Western Amazon.