Datasets:

Solshine
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CollegeOfAgricultureAndForestry_Agricultural_Crop_Dataset

N int64 0 140	P int64 5 145	K int64 5 205	temperature float64 8.83 41.9	humidity float64 14.3 95	ph float64 3.5 9.94	rainfall float64 5.31 299	label stringclasses 15 values
90	42	43	20.879744	82.002744	6.502985	202.935536	rice
85	58	41	21.770462	80.319644	7.038096	226.655537	rice
60	55	44	23.004459	82.320763	7.840207	263.964248	rice
74	35	40	26.491096	80.158363	6.980401	242.864034	rice
78	42	42	20.130175	81.604873	7.628473	262.717341	rice
69	37	42	23.058049	83.370118	7.073454	251.055	rice
69	55	38	22.708838	82.639414	5.700806	271.32486	rice
94	53	40	20.277744	82.894086	5.718627	241.974195	rice
89	54	38	24.515881	83.535216	6.685346	230.446236	rice
68	58	38	23.223974	83.033227	6.336254	221.209196	rice
91	53	40	26.527235	81.417538	5.386168	264.61487	rice
90	46	42	23.978982	81.450616	7.502834	250.083234	rice
78	58	44	26.800796	80.886848	5.108682	284.436457	rice
93	56	36	24.014976	82.056872	6.984354	185.277339	rice
94	50	37	25.665852	80.66385	6.94802	209.586971	rice
60	48	39	24.282094	80.300256	7.042299	231.086335	rice
85	38	41	21.587118	82.788371	6.249051	276.655246	rice
91	35	39	23.79392	80.41818	6.97086	206.261186	rice
77	38	36	21.865252	80.192301	5.953933	224.555017	rice
88	35	40	23.579436	83.587603	5.853932	291.298662	rice
89	45	36	21.325042	80.474764	6.442475	185.497473	rice
76	40	43	25.157455	83.117135	5.070176	231.384316	rice
67	59	41	21.947667	80.973842	6.012633	213.356092	rice
83	41	43	21.052536	82.678395	6.254028	233.107582	rice
98	47	37	23.483813	81.332651	7.375483	224.058116	rice
66	53	41	25.075635	80.523891	7.778915	257.003887	rice
97	59	43	26.359272	84.044036	6.2865	271.358614	rice
97	50	41	24.529227	80.544986	7.07096	260.263403	rice
60	49	44	20.775761	84.497744	6.244841	240.081065	rice
84	51	35	22.301574	80.644165	6.043305	197.979122	rice
73	57	41	21.44654	84.94376	5.824709	272.20172	rice
92	35	40	22.179319	80.331272	6.357389	200.088279	rice
85	37	39	24.527837	82.736856	6.364135	224.675723	rice
98	53	38	20.267076	81.638952	5.014507	270.441727	rice
88	54	44	25.735429	83.882662	6.149411	233.132137	rice
95	55	42	26.795339	82.148087	5.950661	193.347399	rice
99	57	35	26.757542	81.17734	5.96037	272.299906	rice
95	39	36	23.863305	83.152508	5.561399	285.249365	rice
60	43	44	21.019447	82.952217	7.416245	298.401847	rice
63	44	41	24.172988	83.728757	5.58337	257.034355	rice
62	42	36	22.781338	82.067191	6.43001	248.718323	rice
64	45	43	25.629801	83.528423	5.534878	209.900198	rice
83	60	36	25.597049	80.145093	6.903986	200.834898	rice
82	40	40	23.830675	84.813601	6.271479	298.560118	rice
85	52	45	26.313555	82.36699	7.224286	265.535594	rice
91	35	38	24.897282	80.525861	6.134287	183.679321	rice
76	49	42	24.958779	84.479634	5.206373	196.956001	rice
74	39	38	23.241135	84.592018	7.782051	233.045346	rice
79	43	39	21.666283	80.709606	7.062779	210.814209	rice
88	55	45	24.635449	80.41363	7.730368	253.720278	rice
60	36	43	23.431219	83.063101	5.286204	219.904835	rice
76	60	39	20.045414	80.347756	6.76624	208.581016	rice
93	56	42	23.85724	82.22573	7.382763	195.094831	rice
65	60	43	21.971994	81.899182	5.658169	227.363701	rice
95	52	36	26.229169	83.836258	5.54336	286.508373	rice
75	38	39	23.446768	84.793524	6.21511	283.933847	rice
74	54	38	25.655535	83.470211	7.120273	217.378858	rice
91	36	45	24.443455	82.454326	5.950648	267.976195	rice
71	46	40	20.280194	82.123542	7.236705	191.953574	rice
99	55	35	21.723831	80.23899	6.501698	277.962619	rice
72	40	38	20.41447	82.208026	7.592491	245.15113	rice
83	58	45	25.755286	83.518271	5.875346	245.66268	rice
93	58	38	20.615214	83.773456	6.9324	279.545172	rice
70	36	42	21.841069	80.728864	6.94621	202.383832	rice
76	47	42	20.083696	83.291147	5.739175	263.637218	rice
99	41	36	24.458021	82.748356	6.738652	182.561632	rice
99	54	37	21.143475	80.335029	5.59482	198.673094	rice
86	59	35	25.787206	82.11124	6.946636	243.512041	rice
69	46	41	23.641248	80.285979	5.01214	263.11033	rice
91	56	37	23.431916	80.568878	6.363472	269.503916	rice
61	52	41	24.976695	83.891805	6.880431	204.800185	rice
67	45	38	22.72791	82.170688	7.300411	260.887506	rice
79	42	37	24.873007	82.840226	6.587919	295.609449	rice
78	43	42	21.323763	83.003205	7.283737	192.319754	rice
75	54	36	26.294655	84.569193	7.023936	257.491491	rice
97	36	45	22.228698	81.858729	6.939084	278.079179	rice
67	47	44	26.730724	81.785968	7.868475	280.404439	rice
73	35	38	24.889212	81.979271	5.005307	185.946143	rice
77	36	37	26.884449	81.460337	6.136132	194.576656	rice
81	41	38	22.678461	83.728744	7.52408	200.913316	rice
68	57	43	26.088679	80.379799	5.706943	182.90435	rice
72	45	35	25.429775	82.946826	5.758506	195.357454	rice
61	53	43	26.403232	81.056355	6.349606	223.367188	rice
67	43	39	26.04372	84.969072	5.999969	186.753677	rice
67	58	39	25.282722	80.543728	5.453592	220.115671	rice
66	60	38	22.085766	83.470383	6.372576	231.736496	rice
82	43	38	23.286172	81.433216	5.105588	242.317063	rice
84	50	44	25.48592	81.406335	5.935344	182.654936	rice
81	53	42	23.675754	81.035693	5.177823	233.703498	rice
91	50	40	20.824771	84.134188	6.462392	230.224222	rice
93	53	38	26.929951	81.914112	7.069172	290.679378	rice
90	44	38	23.835095	83.883871	7.473134	241.201351	rice
81	45	35	26.528728	80.122675	6.158377	218.916357	rice
78	40	38	26.464283	83.856427	7.549874	248.225649	rice
60	51	36	22.696578	82.810889	6.028322	256.996476	rice
88	46	42	22.683191	83.463583	6.604993	194.265172	rice
93	47	37	21.533463	82.140041	6.500343	295.92488	rice
60	55	45	21.408658	83.329319	5.935745	287.576694	rice
78	35	44	26.543481	84.673536	7.072656	183.622266	rice
65	37	40	23.359054	83.595123	5.333323	188.413665	rice

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Context: This data originally came from the College of Agriculture and Forestry

Originally posted to Kaggle by AGRICULTURAL INNOVATIONS with the following description "Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present to you a dataset which would allow the users to build a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters."

Includes recommendations for the following needs of plants: N, P, K, temperature, humidity, ph, rainfall

This may also be useful for training models in reccomending nutrition for crops based on environmental conditions.

Downloads last month: 45

Size of downloaded dataset files:

109 kB

Size of the auto-converted Parquet files:

75.4 kB

Number of rows:

1,697