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Considering the importance of safe food, avoiding of excess pesticide application and pesticide pollution the present study was conducted. In this experiment totally four pesticides were tested against cowpea aphid Aphis craccivora under pot culture experiment at College of Agricultural Technology, Theni. Among the four acetamprid 20 SP (0.125g/ml) proved highly effective against Aphis craccivora compared to the rest of the pesticides with mortality of 98.75 per cent. In case of dosage wise acetamprid 20 SL (0.125g/ml) and imidacloprid17.8 SL(0.25ml/l)proved to be highly effective with mortality percentage of 98.33 and 86.66, respectively. Thus, it is concluded that all the studied pesticides, Acetamprid proved effective to control the cowpea aphids.How to view point the article : Gowtham, V., Dilipsundar, N., Balaji, K. and Karthikeyan, S. (2016). Study on the effectiveness of pesticides against cowpea aphid (Aphis craccivora) Koch. Internat. J. Plant Protec., 9(1) : 146-149.

The meteorological parameters such as maximum, minimum temperatures, relative humidity, rainfall, wind velocity, hours of sunshine were correlated with mite population and correlation coefficients obtained were revealed that maximum, minimum temperature and wind velocity were positively correlated. Relative humidity, rainfall and sunshine were negatively correlated. The increase in these parameters decreased the mite population. By using the regression equations mean mite population /8mm 2 can be predicted for a given set of meteorological parameters. A unit increase in maximum temperature keeping other parameters constant resulted in increase in population of 1.31/8mm 2 area. In contrast, a unit increase in rainfall resulted in decrease in mite population of 0.83/8mm 2. How to view point the article : Balaji, K. and Hariprasad, Y. (2016). Correlation studies on incidence of eriophyid mite population A. guerreronis with weather parameters. Internat. J.

As the global population continues to grow, the demand for food is also increasing, and high-tech agriculture has emerged as a key solution to meet this demand. AI technologies have the potential to revolutionize high-tech agriculture by optimizing farming practices. This chapter outlines the mission and concerns related to the use of AI-driven applications for high-tech agriculture. The primary objective of this chapter is to outline the mission and address concerns pertaining to the utilization of AI-driven applications in high-tech agriculture. This chapter provides insights into the extensive range of AI-driven applications in high-tech agriculture, spanning crop monitoring, seed selection, planting, harvesting, post-harvest processes, and distribution logistics. By providing a deep understanding of the state-of-the-art AI technologies in high-tech agriculture, this chapter also offers valuable recommendations for future directions and collaboration to fully capitalize on the benefits of AI in the agricultural sector.

Two field trials were undertaken at the Kadavasal village of Chidambaram district during September-December, 2000 and the second trial from January-April 2000 to evaluate the efficacy of botanicals against coconut mite Aceria guerreronis. The treatments were as follows: Phytopalm 5%, Phytopalm 3%, Neem azal 1%, Fortune Aza 1.5%, Neem Seed Kernel Extract 5%, Neem oil 3%, Nochi leaf extract 3%, Calotrpis leaf extract 5% and Monocrotophos 0.04%. The experiment was laid out in a randomized block design with nine treatments replicated three times. Each replication consisted of one palm. Among the botanicals tested, the highest per cent reduction of mite population was recorded in Phytopalm 5% (62.52%), Phytopalm 3% (57.73%), Neem Seed Kernel Extract 5%, (33.50%), Neem oil 3% (31.31%), Neem azal 1% (29.30%) and Fortune Aza 1.5% (26.66%), whereas the least per cent reduction of mite population was noticed in Calotropis leaf extract (17.46%).