Author(s):
1. Arshia Naeem:
Lahore College for Women University,Lahore,Pakistan
2. Maria Anjum:
Lahore College for Women University, Lahore, Pakistan.
3. Mariam Rehman:
Lahore College for Women University, Lahore, Pakistan.
4. Zahid Mahmood:
National Agricultural Research Centre, Islamabad, Pakistan.
5. Muhammad Asif Kamran:
Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan.
Abstract:
- E-agriculture is an emerging area that integrates agriculture and rural development with information communication technology (ICT). In developing countries such as Pakistan, economy largely depends on agriculture. Therefore, the need to move from conventional ways of farming to easy, effective and efficient smart solutions are required to minimize yield losses in crop plants. An integrated application to facilitate farmers to communicate their crop related issues directly to agriculture scientists is proposed. This 'AXPERT Platform' consists of web application that provides user centered interface to farmers and a desktop application that facilitates agricultural scientists to identify crop diseases. A case study was developed from Faisalabad region where information about crops, their soil conditions and associated diseases were provided on a web application. An online registration facility was provided along with interface to send image of crop related diseases. The desktop application consisted of an image analyzer that received images from web application and processes them to identify crop disease. The proposed platform was evaluated in collaboration with researchers from Ayub Agricultural Research Institute (AARI), Faisalabad by employing walkthrough and survey with farmers and agriculturists. The study is first attempt in terms of practical usage of ICT tools to bridge research and extension gap and can be used by agricultural policy makers to support agricultural services for farming communities who are otherwise deprived of extension services due to large number of farmers and their huge spread throughout the country.
Page(s):
373-380
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Agricultural Research, Volume: 29, Issue: 4, Year: 2016
Keywords:
Disease Detection
,
Pakistan
,
Sugarcane
,
wheat
,
EAgriculture
,
Fungal Diseases
,
Information System
References:
References are not available for this document.
Citations
Citations are not available for this document.