• Anusuya. R
• Dr.Krishnaveni Sakkarapani

The developing field of Farming is the foreseeing or determining the surrender and sorts of trim to be developed in a specific season. The issues Artificial Neural Networks confronted in foreseeing this range are like distinguishing the accessibility of water (dry spell administration), climatic changes, need of mindfulness of fertilizers to be utilized for the specific maladies, changes in climate occasions, seed quality, sort of water system to be practiced, investigations of pesticides and fertilizers, and limited due to startling characteristic calamity etc. The recently plan demonstrate can classify accurately the sort of edit that can be developed in a specific season in a specific zone. This expectation comes about may offer assistance the agriculturists to sow that trim in that season and in this manner they increment their abdicate rate. Huge information analytics is the doable stage to test and degree the edit. In this paper, a novel crossover Artificial Bee Colony (ABC) and Artificial Neural Networks (ANN) is proposed for fathoming persistent optimization issues. Looking capacity and arbitrariness in selecting the populace is increments when utilizing this ABC calculation. To appear the execution of our proposed crossover ABC with ANN, a number of tests are carried out on rural dataset .The test comes about demonstrate that our proposed strategy is sensible and productive for tackling profoundly complex optimization issues.

Classification, Crop yield, Data analytics, Prediction, ABC-ANN

"Artificial Bee Colony (ABC) Optimization and Artificial Neural Networks (ANN) based Classification on Agriculture dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.27-33, June-2022, Available :http://www.jetir.org/papers/JETIRFN06004.pdf

"Artificial Bee Colony (ABC) Optimization and Artificial Neural Networks (ANN) based Classification on Agriculture dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp27-33, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06004.pdf