<div style="text-align: justify;">A study was conducted in two districts i.e. Fatehabad from South-West zone and Karnal from North- East Zone of Haryana state .A list of all the villages (Zero tillage technology users) in each selected village was prepared. Twenty farmers (having small, medium and large size of land holdings) were selected by using random sampling techniques from each village. Therefore, the sample constituted for the proposed study was one hundred and forty farmers/respondents to collect the information for the purposively study. To measure the knowledge and adoption level of ZTT users, they were asked to reply different questions on recommended aspects/practices of ZTT users. The correct answers were awarded a score and incorrect reply was given zero score. The scores obtained under various aspects/practices were summed up with both respondent wise and as well as component wise. The computing low, medium and high knowledge level on the basis of socio economic status. The study revealed that Mean knowledge score of the respondents was 62.75%. High socio-economic status farmers were found to have high level of knowledge in all practices i.e. pre sowing (72.26%), after sowing knowledge (74.66%) and fertilizer knowledge (74.16%) medium and low socio-economic status farmers had found poor or medium knowledge about ZTT. Pooled farmers (57.85%) had favoural attitude towards ZTT. High socio-economic status farmers (63.63%) had better attitude under favourable conditions than medium (32.09%) and low (24.32%) farmers. The SES farmers, having pre sowing adoption (66.80%) and fertilizer adoption (55.50%), after sowing adoption (50.66%) the medium and low SES. Farmers. High SES farmers than (63.63%) had better attitude under favourable condition than medium (32.09%) and low (24.32%) farmers.&nbsp;</div>

<div>Knowledge and attitude of farmers towards Zero &ndash; Tillage Technology in Haryana</div>

<p><strong>Background:</strong> Buffalo milk production in India plays a significant role in the global dairy market, with a rich history deeply intertwined with the country&rsquo;s economy and culture. Over six decades, the dynamics of buffalo farming have been pivotal in shaping India&rsquo;s dairy landscape.<br />
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<strong>Methods:</strong> This paper delves into the subject by analysing a comprehensive time series dataset spanning six decades. The focus lies on understanding the economic and cultural significance of buffalo farming, particularly in relation to milk production. Four forecasting models-ARIMA, SES, Seasonal Naive and ETS-are employed to discern temporal patterns in buffalo milk production.<br />
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<strong>Result:</strong> The study reveals that the ARIMA and ETS models outperform SES and Seasonal Naive models in capturing and elucidating data behaviour. Their superior performance underscores their efficacy in predicting buffalo milk production trends accurately. These findings offer valuable insights for policymakers and stakeholders aiming to optimize buffalo milk production and foster long-term growth in India&rsquo;s dairy sector.</p>


Knowledge and attitude of farmers towards Zero – Tillage Technology in Haryana

Temporal Trends and Future Projections: A Deep Dive into India’s Buffalo Milk Production Through Time Series Modelling