Improving the management of poultry production: Mobile application development and validation

The broiler production chain is productive, and chicken meat has achieved high export rates to several countries in the world. This study aimed to develop a mobile application that helps the producer to audit the issues of good production practices. The application was developed for Android and programmed in Java. For its development, questions were used, with different weights according to their importance for production. These questions were removed from the items that make up the manuals of good practices used in Brazil. A test was carried out with users to determine the possibility of using the application in the field. After answering all the questions, the user gets a score ranging from 5 to 1 (excellent to bad). It also indicates which questions they did agree with good practices. The test with users showed that the application was easy to understand and enabled users to make decisions that would improve broiler production.

[1]  Andreas Kamilaris,et al.  A review on the practice of big data analysis in agriculture , 2017, Comput. Electron. Agric..

[2]  Thomas Banhazi,et al.  Precision Livestock Farming: A Suite of Electronic Systems to Ensure the Application of Best Practice Management on Livestock Farms , 2009 .

[3]  Josse De Baerdemaeker,et al.  Precision Agriculture Technology and Robotics for Good Agricultural Practices , 2013 .

[4]  Heike Baumüller,et al.  Facilitating Agricultural Technology Adoption Among the Poor: The Role of Service Delivery Through Mobile Phones , 2012 .

[5]  E. Sans,et al.  Broiler chicken welfare assessment in GLOBALGAP ® certified and non-certified farms in Brazil , 2015 .

[6]  N. B. Anuar,et al.  The rise of "big data" on cloud computing: Review and open research issues , 2015, Inf. Syst..

[7]  I. A. Nääs,et al.  Work activities and workers' health in broiler production: a case study , 2009 .

[8]  Ângelo Brambila Reck,et al.  Aplicação da metodologia multicritério de apoio à decisão no relacionamento interorganizacional na cadeia da avicultura de corte , 2016 .

[9]  Wanlin Gao,et al.  Selection of an index system for evaluating the application level of agricultural engineering technology , 2018, Pattern Recognit. Lett..

[10]  I. A. Nääs,et al.  Effect of the litter material on drinking water quality in broiler production , 2010 .

[11]  I. de F. F. Tinôco,et al.  Activities and Ergonomics of Workers in Broiler Hatcheries , 2015 .

[12]  Daniel Berckmans,et al.  Appropriate data visualisation is key to Precision Livestock Farming acceptance , 2017, Comput. Electron. Agric..

[13]  Neena Sinha,et al.  Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service , 2018 .

[14]  C. Molento,et al.  Assessment of Broiler Chicken Welfare in Southern Brazil , 2016 .

[15]  Marcelo A. Carmona,et al.  AgroDecisor EFC: First Android™ app decision support tool for timing fungicide applications for management of late-season soybean diseases , 2017, Comput. Electron. Agric..

[16]  Irenilza de Alencar Nääs,et al.  Impact of different light sources on broiler rearing environment , 2014 .

[17]  I. A. Nääs,et al.  Identification of critical points of thermal environment in broiler production , 2010 .

[18]  K. Giller,et al.  PARTICIPATORY RESEARCH TO CLOSE THE SOYBEAN YIELD GAP ON SMALLHOLDER FARMS IN MALAWI , 2016, Experimental Agriculture.

[19]  Irenilza de Alencar Nääs,et al.  Broiler and swine production: animal welfare legislation scenario , 2009 .

[20]  W. Bessei.  Welfare of broilers: a review , 2006 .

[21]  Kazuki Saito,et al.  On-farm testing of a nutrient management decision-support tool for rice in the Senegal River valley , 2015, Comput. Electron. Agric..

[22]  M. Hötzel,et al.  Influence of in-house composting of reused litter on litter quality, ammonia volatilisation and incidence of broiler foot pad dermatitis , 2013, British poultry science.

[23]  Michael R. Carter,et al.  Where and how index insurance can boost the adoption of improved agricultural technologies , 2016 .