Supplementation of water for irrigation in needed in south India due to uncertainty of monsoon rainfall. This paper proposes a support system to manage the irrigation system based on the information provided by humidity, temperature, soil moisture and weather information. The temperature, humidity and soil moisture data were collected by sensors. The proposed ANFIS based system consists of N inputs and a single output which determines the irrigation time needed for the crop. The experimentation is carried out using real time data collected from the region of VALLAM, located near THANJAVUR. The result helps in determining the time for irrigation which helps in increasing the yield of the crop.
Millets are annual grasses and grow well under the marginal conditions of soil fertility and moisture, which provide staple food for millions of people. Millets have strong, deep rooting systems and short life cycles. Breeding research in millets, habitually engages different species, cultivars, and varieties. This makes an immense challenge to maintain the different varieties and their identification characters. On account of this fact, the MilletDB clearly brings out the variations of different morphological traits of the TNAU released millet varieties and germplasm information about the pearl millet. MilletDB is an Internet-accessible database, which is designed by using the front-end language PHP and back-end as MySQL and is equipped with extensive search options. It is a user-friendly database and made publicly available, to improve the research and development of millet crops by making the wealth of available millet varieties.
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