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A battery energy storage system (BESS) is generally used for storing the excess power produced from the solar PV panel and supplying the stored electrical energy whenever it is needed. The accurate estimation of the state of charge (SOC) of the battery is considered to be very essential for proper power management and reliable operation of the battery. SOC monitoring system for BESS based on probabilistic neural network (PNN) approach is proposed. The PV panel output voltage is enhanced and made distortion free by single ended primary inductance converter (SEPIC) with the assistance of PNN controller. The output thus obtained from the converter is used for many DC applications. The performance of the proposed battery monitoring model is evaluated by using MATLAB simulation.

The new early maturing rice hybrid CORH 3 is a combination of TNAU CMS 2A and CB 87R. This hybrid matures in 115days. The hybrid was found to produce on an average 7.2 tonnes per hectare which was more than 12% higher than thehybrid checks, ADTRH 1 and KRH2, and more than 25% higher than the variety checks, ADT 43 and ADT 39. The hybridproduces good quality rice possessing intermediate amylose, soft gel consistency, and good linear elongation on cooking. Ithas white, non-sticky, non-aromatic rice which tastes good and has been well accepted by the consumers. Besides, the hybridCORH3 is tolerant to Rice Tungro Disease (RTD) and blast. It is also resistant to Green Leaf Hopper (GLH) and tolerant toBrown Plant Hopper (BPH) and White Backed Plant Hopper (WBPH)