Table 1. Suggestion for irrigation.

		70:30 ratio of training and testing				5-fold cross validation
Dataset	Classifier	A	Pr	Rc	F1	A	Pr	Rc	F1
Our sensor collected data	Naïve Bayes	83.48	82.67	80.95	81.80	83.61	82.77	80.99	81.87
	Decision Tree (C4.5)	85.74	85.12	83.81	84.46	85.83	85.19	83.88	84.53
	SVM	87.29	86.77	85.42	86.09	87.45	86.85	85.51	86.17
NIT Raipur Crop dataset	Naïve Bayes	84.37	83.35	82.63	82.99	84.51	83.44	82.68	83.06
	Decision Tree (C4.5)	86.15	85.75	83.89	84.81	86.29	85.86	83.95	84.89
	SVM	88.05	87.44	86.52	86.98	88.22	87.55	86.59	87.07