Agricultural information is various and from different sources

such as remote sensing monitoring

statistic data

market research

meteorological information

and in-situ measurement. These data distribute dispersedly in different government departments or units

and lack mutual exchange and validation

comprehensive analysis and organic integration. In order to take advantage of various kinds of data

comprehensive analysis should be strengthened. In this paper

agricultural information from various sources

such as cropland acreage

crop acreage

crop yield

crop growth and grain yield

is compared and analyzed preliminarily on the aspect of content and expression fashion

and statistic approach and so on. Compared agricultural information by remote sensing with other information

cropland acreage by remote sensing is accurate and credible. Crop growth monitored by remote sensing is much more direct and comprehensive. Crop acreage by remote sensing is larger than that by statistic data（statistic crop acreage maybe lesser）. Crop yield of per units estimated by remote sensing is lower than statistic data（statistic data maybe higher）. Crop yield estimated by remote sensing is approaching relatively to statistic data

but there is still difference. Crop yield estimated by remote sensing maybe higher

and by statistic data maybe lower . Through comparison of various agricultural information from different sources

it is affirmative that agricultural information by remote sensing has advantages in objectivity

spatio-temporal continuity

comparability

forecast-ability and lower cost. On the other hand

agricultural information by remote sensing has deficiency and localization. Though analysis in this paper it is indicated that both remote sensing information and other information are valuable in existence

and their accuracy need be enhanced. Different agricultural information could not be substituted they are complementary and validated for each other. In order to reflect agricultural circumstances more entirely and exactly

agricultural information from different sources should be comprehensively analyzed and integrated.