Agricultural products traceability system：
At present, the scarcity of agricultural professionals, weak infrast
ructure construction of agricultural products, the main trade of e-
commerce awareness is weak, the degree of standardization of a
gricultural products is low. In order to compensate for this deficien
cy, we developed a set of traceability systems for agricultural prod
ucts, further adapting to the vigorous development of the "Internet
+" strategy, which is costly and efficient, providing traceable sourc
es of agricultural production, increasing consumer confidence, Co
rporate brand image。
Main function：
1.Establishing a support for video traceability of the wisdom
of agriculture (the collection of emerging Internet, mobile I
nternet, cloud computing and Internet of Things technolog
y)；
2.Relying on the deployment of a variety of sensor nodes in
the agricultural production site (environmental temperature
and humidity, soil moisture, carbon dioxide, images, etc.) a
nd wireless communication network to achieve agricultural
production environment, intelligent perception, intelligent e
arly warning, intelligent decision-making, intelligent analysis；
3.Expert online guidance for agricultural production to provide
precision planting, visual management, intelligent decision-
making。
Product recommendation system：
Online consumption to facilitate, fast, effort for the rapid selling
of consumers and businesses to attract attention. However, the
variety of goods to consumers choose to increase the cost, it is
difficult to distinguish between true and false, while the consum
er consumption of the dispersion also makes it difficult for busin
esses to estimate the consumer's real potential for consumer sp
ending and consumer hobbies. The e-commerce online product
evaluation and recommendation system is based on the reptile
technology, combined with the product recommendation algorith
m, to crawl the after-sales evaluation of the goods specified by t
he user, according to the standard value given by the user to ev
aluate the evaluation criteria, evaluate the best goods And displ
ay the goods by rank. Let the business self-retrieval of goods sa
les evaluation trend, grasp the latest sales trends and evaluation
of the best products for consumers to provide product evaluation
ranking, reduce the cost of choice for the purchase of the best pr
oducts。
Main function：
1.The establishment of multi-level commodity analysis mod
el can be used for intelligent recommendations。
2.According to set the level of quality parameters to filter m
erchandise, to achieve accurate search and recommenda
tion。
