SAGRO-Lite: A Light Weight Agent Based Semantic Model …
297
Fig. 19 Image of a diseased
wheat leaf sent to the
agronomist
8 Future Trends and Conclusion
Despite high dependency on agriculture, India is going through a deep agrarian
crisis. The survey of 5000 farm households across 18 states says that 76% farmers
would prefer to do some work other than farming. The difference in pace at which the
technologies develop and at which they are adopted and consumed until they become
a standard is big and in case of developing countries it is all the more significant.
So through a light weight IOT specifically focused on farming style of developing
countries like India, farmers can increase their quality of farming and thereby have
better production and returns by the use of this technology. But instant adoption of
IoT in farming is impractical in developing nations due to following reasons: India
cannot afford high prices so in order to be successful the IoT based horticulture
solutions must be low cost. The farmers are less literate and less tech savvy. The
farmers need some easy and straightforward solution to their queries and an easy
interface. The present frameworks for Smart Farming prove to be too complicated
to be practically implemented. The authors propose a light weight semantic agent
based model SAGRO-Lite, that uses the IOT-Lite meta-model [79, 80].
297
Fig. 19 Image of a diseased
wheat leaf sent to the
agronomist
8 Future Trends and Conclusion
Despite high dependency on agriculture, India is going through a deep agrarian
crisis. The survey of 5000 farm households across 18 states says that 76% farmers
would prefer to do some work other than farming. The difference in pace at which the
technologies develop and at which they are adopted and consumed until they become
a standard is big and in case of developing countries it is all the more significant.
So through a light weight IOT specifically focused on farming style of developing
countries like India, farmers can increase their quality of farming and thereby have
better production and returns by the use of this technology. But instant adoption of
IoT in farming is impractical in developing nations due to following reasons: India
cannot afford high prices so in order to be successful the IoT based horticulture
solutions must be low cost. The farmers are less literate and less tech savvy. The
farmers need some easy and straightforward solution to their queries and an easy
interface. The present frameworks for Smart Farming prove to be too complicated
to be practically implemented. The authors propose a light weight semantic agent
based model SAGRO-Lite, that uses the IOT-Lite meta-model [79, 80].