The nutrient and biomass supply capacity of green manure (GM) and its complimentary and synergistic relationship with chemical nutrients is needed for a sustainable rice–baby corn cropping system in the eastern part of North India. A two-year field study was performed to assess the effect of GM and nitrogen management (NM) on yield attributes (YA), the yield of rice, and their residual (R) effect with the half-recommended dose of fertilizers on the succeeding baby corn crop. The combination of GM and N levels had significant effects on rice yield, which also influenced the succeeding baby corn crop. A higher number of tillers/m2, panicle length (cm), number of grains/panicles, panicle weight (g), grain yield (Mg/ha), straw yield (Mg/ha), and biological yield (Mg/ha) were found with Sesbania aculeata incorporated at 45 DAS (SA), which was statistically on par with water hyacinth 5 t/ha dry weight basis (WH) during both years of the field study. Among the rates of nitrogen fertilizers, 100% RDN (50% N through FYM + 50% N through inorganic) (RDN100) was the best treatment with a corresponding increase in all YA and yields of rice. It has been proven that integrated nitrogen management (INM), or the use of organic material along with fertilizer, is an effective way of managing nitrogen. In the present investigation, green manuring and integrated nitrogen management on rice sustainably increased the yield attributes and yield of the succeeding baby corn. These results illustrated the complementary effects of summer green manuring in conjunction with INM in maximizing the yield attributes and yields of rice, its residual effect on succeeding baby corn, and the economics of the system.

An experiment was conducted at research farm of Rajiv Gandhi South Campus, Barkachha, Mirzapur situated in eastern Uttar Pradesh during winter (rabi) season of 2021–22 with the objective to study the response of nitrogen, phosphorous, sulphur doses and urea foliar spray on lentil growth attributes, yield attributes, yield and economics under guava + lentil based agri-horti system. Results revealed that the higher growth, yield attributes, yield, net monetory returns and benefit-cost ratio were recorded under N23.5+P60+S40 which was at par with N20+P50+S30. In case of varied doses of foliar spray of urea, foliar spray of 2% urea at pre-flowering stage fb 2% urea at pod initiation stage recorded significantly higher growth, yield, yield attributes and economics which was at par with foliar spray of 2% urea spray at pre-flowering stage. Moreover, between the sowing of the lentils and the harvest, the guava's growth attributes were also increased. Therefore, under rainfed conditions of Vidhyan region of eastern Uttar Pradesh, application of nitrogen, phosphorus and sulphur @20, 50 and 30 kg/ha as basal application along with foliar application (spray) of 2% urea at pre-flowering stage (45 DAS) to lentil crop was found to be better option for higher profitability under guava plantation.

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A computer system with artificial intelligence (AI) can carry out activities that typically require human intelligence. These artificial intelligence systems are frequently powered by machine learning, occasionally by deep learning, and occasionally by really dull stuff like rules. This results from learning, which is acquiring the knowledge and guidelines for using the data. It has grown to be quite popular and necessary as a result of data-based service sectors. The ability of a computer or robot operated by a computer to carry out tasks usually performed by intelligent beings. Massive amounts of labeled training data are ingested by AI systems, which then analyze the data for correlations and patterns before using these patterns to forecast future states. By analyzing millions of instances, an image recognition tool can learn to recognize and describe items in photographs, just as a chat-bot that is fed examples of text chats can learn to make lifelike interactions with humans. AI has the potential to help societies overcome some of the biggest problems of our day. It also presents a number of threats to the same civilization, though. What are the significant concerns that AI poses to society and how do they affect human rights? This paper is about issues including the effects of artificial intelligence (AI) on the Indian legal system and its challenges.

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