Great thought! People are really taking interest on precision agriculture and using existing/new technologies to understand and manage farming practices more. As I believe, if IoT based systems are installed and used, sensors will generate whole lot of data, which will be hard to manage at local point. This is where cloud computing and cloud storage comes to play. Just imagine Giga/tera bytes of useful/useless data being collected, per region per day. Going forward, it will play huge role in making it more realistic/reliable.
Great thought! People are really taking interest on precision agriculture and using existing/new technologies to understand and manage farming practices more. As I believe, if IoT based systems are installed and used, sensors will generate whole lot of data, which will be hard to manage at local point. This is where cloud computing and cloud storage comes to play. Just imagine Giga/tera bytes of useful/useless data being collected, per region per day. Going forward, it will play huge role in making it more realistic/reliable.
The collection, storage & dissemination of large quantum of agricultural data is going to play a crucial role in the days ahead. And storage of this data in the Cloud is going to the most efficient way.
I strongly recommend the interdisciplinary approach to this wonderful project. IT in agriculture play giant roles from data collection of agricultural species, services and products, research, marketing and distribution.
Dear Karim Panjvani,
I thank to you for the appreciation and comment about the IT role in farming. If possible, would you please provide a overview from your side regarding any one case study of agricultural data or sample?
Emmanuel Vijayanand Murray Sir,
Thanks a lot for showing your interest and specified suggestion regarding my question.
Dear Dickson Adom,
I express my thanks to you for your visionary words towards the growth of agriculture with the IT support like, IOT, Cloud computing and most important Machine Learning.
Hi Indrajeet,
See the followings:
1. T. Truong, A. Dinh and K. Wahid, 2017, “An IoT Environmental Data Collection System for Fungal Detection in Crop Fields”, Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 924-927
2. https://www.plantphenomics.org.au/
This will provide insights on how and what those data look-a-like. Specifically for plant phenotyping, a single field trial with multiple sensors could easily go upto 100s of Giga bytes.
Farming by nature is labour intensive if not mechanised. Therefore the use use information Technology results in the reduction of human involvement. Whenever the ICTs are roped in they always have an impact on labour. The use of concept of the Internet of Things is one such area that have a bearing on human interference in Agriculture. At my University I supervised a student who developed an automated gardening prototype. The system was presented and it proved to be a very good solution.
The system comprised of 3 main components that operate in tandem. The first component is a hardware device comprising of a micro-processor, sensors, a water pump and a Wi-Fi antenna. This hardware component will read the environment conditions using its sensors, and transmit that data via Wi-Fi. The second component is an android application that will be used to view information about the plant’s surrounding conditions, among other functions. The final component is an online web application, that will be mainly for the administrator of the system. To summarise, the system is be made up of a hardware device, web app, and android device.
Its a very good systems
Research becomes valuable when used. Clouds need to move beyond data storage. U.S. crop consultants, for example, contract for several thousand acres per season. Weekly consultants may only inspect 4% of each field. Pre-flying drones will allow concentration on areas needing attention--not just the easiest areas to view. Weekly, monthly, and year-to-year data cloud tips of where and when disease, insects, weeds, moisture stress, fertility deficiencies, and etc. can enhance in-field inspections. Likewise, livestock/dairy/poultry/fish individual location, feeding, watering, birthing, growth rate and feculent deposits can all potentially be tracked with the goal to real-time make changes to enhance production. Product quality can be enhanced while waste minimized with data cloud monitoring of moisture, temperature, and gas readings while meat, grains, vegetables, fruits, fibers, and etc. can be monitored against historic readings in storage and during transport. Although data storage for later retrieval is good, real-time historic comparisons with immediate action is where data becomes productive. See https://www.agprofessional.com/article/iowa-crop-consulting-firm-offers-ag-services-drones.
Dear sir.. You may refer this following link
https://link.springer.com/chapter/10.1007/978-81-322-1880-7_12
Hi. Different easy to use and cost effective cloud based services are beneficial for agriculture sector.
1. Market analysis
2. Disease diagnosis
3. Funding details and process
https://www.researchgate.net/publication/319442059_Development_of_mobile_phone_based_agro-advisory_system_through_ICT_mediated_extension_approach_in_North-eastern_himalayan_region_of_India
@ Biswajit Lahiri ,
Thank you sir for sharing your research work. It will be good for updating my knowledge in this area. Definitely, I will go through your publication and project.
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