Agriculture Is The Backbone Of Indian Economy And Livelihood To Many People.
The Use Of Computer Science In The Field Of Agriculture Will Potentially Solve Many Problems
Faced By Farmers. Farmers Often Choose Crops For Their Field Based On Their Own Experience
And Instinct. This Sometimes Leads To Loss And Less Yield. If The Selection Of Crops Is Done With
Productivity Data Of The Entire Region, It May Lead To Better Results.However All The Crops
Cannot Be Cultivated In A Particular Soil. So The Soil Must Be Analysed And Crops Must Be
Suggested Based On The Type Of Soil. Many Soil Classification Techniques Involve Testing In
Laboratories Whichmight Not Be Affordable And Available To All The Farmers.
This Work Suggests An Idea That Is Useful And Easily Accessible To All The Farmers In
India Without Any Need Of Hardware. A List Of Crops With Their Success Rate Will Be Suggested To
The Farmer When The Region Of Agriculture And Soil Image (used For Agriculture) Are Given As
Inputs. This List Of Crops Are Both Profitable And Produce More Yield In That Region.
The Results Obtained Are Promising. An Accuracy Of 94% Is Achieved In The Soil
Classification Module.The Success Rate For The Crops Obtained Are Realistic With The Agricultural
Practices In The Region. The Web Application Developed Is Extremely User Friendly And Easy To
Use By The Farmers.
