Traditional knowledge includes methods for nutrient management that rely on natural resources and minimize reliance on artificial inputs. Techniques such as using botanical extracts like Bilb Rasyan and Gaajar Ghaas Svaras, as well as incorporating organic materials like cow urin...
Open access
Research Article10.9734/jsrr/2024/v30i102494
In this modern era, climate change is the most severe challenge experienced in the field of agriculture. To become climate smart, farmers should be equipped well with weather forecast information in prior to do farm operations. Hence, this study represents the construction of an...
Open access
Research Article10.9734/ijecc/2023/v13i61843
In a situation when farmers’ suicide and distress sell still remain the key issues in India’s Agricultural scenario, we are dreaming of achieving a double income for the farming community. This gap in the income level of farmers can only be bridged by adopting newer income genera...
Open access
Research Article10.9734/ajaees/2021/v39i1230810
Socioeconomic status is measurement of economic and social position of an individual in the society. It influences the accessibility to the resources, livelihood pattern, food and nutritional security. The research investigation was conducted in Zahirabad, Narayanakhed and Sanga...
Open access
Research Article10.9734/cjast/2021/v40i1331386
Biggest discovery in the history of humanity was agriculture for basic livelihood of people to sustain this biggest development the quality supply of agricultural inputs to the farming community is essential because agriculture is the primary source of livelihood for about 58% of...
Open access
Research Article10.9734/ajaees/2023/v41i31858
Input dealers being credible localite sources of information for farmers have huge potential of aiding faster diffusion of innovations. Under this context, understanding how the input dealers’ access and exchange information is essential for enriching them with updated informatio...
Open access
Research Article10.9734/acri/2024/v24i8850
This study employs bibliometric analysis to investigate trends in livestock extension research from January 2015 to June 2024, utilizing data sourced from the dimension.ai database. The analysis encompasses a comprehensive review of publication trends, research categories, influe...
Open access
Research Article10.9734/jsrr/2024/v30i92368