Crop Yield Prediction App
| Author(s) | : | Ms.Mande S.R, Ms. Thorat S.E, Ms. Momin S.S, Ms .Momin A.M, Mr.Gaikwad M.S |
| Institution | : | Computer Engineering, Jaihind Polytechnic, Kuran |
| Published In | : | Vol. 5, Issue 16 — January 2018 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
India’s economic growth mainly depends on agriculture yield production and their related agro industryproducts. The prediction of agriculture yield is the toughest task for agricultural departments across the world whichdirectly as well as indirectly affects on economic growth rate of country. The agriculture yield depends on variousfactors. Particularly countries like India, majority of agriculture growth depends on weather forecasting, area underplantation, amount of importing/ exporting of the crop which is highly unpredictable [1].Therefore, Farmers are struggling to produce the yield and to get desirable prize or rates for their products so;we are creating an agriculture data. This data could be gathered, stored and analyzed for useful information [2].Estimating the yield is essential to optimize good prize to crop production and distribution. The main aim ofdeveloping our app is to providing a new crop yield prediction method based on data analysis technique, which differswith traditional methods in the structure of handling data.[4].
Ms.Mande S.R, Ms. Thorat S.E, Ms. Momin S.S, Ms .Momin A.M, Mr.Gaikwad M.S, “Crop Yield Prediction App”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 16, pp. -, January 2018.
