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    फोकस में जैविक: जलवायु-लचीले समाधान वैश्विक खाद्य सुरक्षा को कैसे संबोधित कर रहे हैं

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    फोकस में जैविक: जलवायु-लचीले समाधान वैश्विक खाद्य सुरक्षा को कैसे संबोधित कर रहे है

    Agricultural Engineering - The Changing Dynamics

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    Cultivating Harmony for Sustainability

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    Circular Economy in Food Processing Sector

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    AI for Addressing Challenges in Agriculture

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    Crop Water Production Functions for Potato (Solanum tuberosum) in North Eastern Hilly Region of Meghalaya, India

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    Crop water production function (CWPF) relates crop yield to the amount of water applied for growing of crop and helps in planning deficit irrigation strategies. This study is undertaken to develop the CWPF for potato crop through a field experiment with irrigation treatments considering four regimes of maximum allowable depletion (MAD), viz., 45%, 60%, 75% and 90%. The experimental layout was developed with a split-plot design, where irrigation levels were main-treatments and three potato varieties, viz., Kufri Jyoti, Kufri Megha and Kufri Giriraj, were considered as sub-treatments with three replications. In every treatment, amount of water applications was monitored and yield of harvested potato was recorded, which were finally subjected to regression analysis. A satisfactory CWPF for potato in the form of a quadratic equation based on value of coefficient of determination (R² = 0.98) was developed. Among the three varieties, var. Kufri Jyoti resulted in the maximum potato yield of 13.73 t ha-1 and the highest water productivity of 54.50 kg ha-1 mm-1. The CWPF developed in this study is useful to water resources managers and scientists to assess the potato yield under limited water availability conditions under hilly terrain of North Eastern Hilly Region of India

    Enhancing Productivity of Kinnow Mandarin Orchard through Fertigation under Low Hill Zone of Himachal Pradesh, India

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    Field investigations were undertaken during the period 2018-2019 to find out the effect of different fertigation levels on growth, yield and quality of kinnow mandarin. The field experiment was laid out in completely randomized block design with five treatments (100% recommended dose of fertilizers (RDF) direct application to soil (control: T1), and four fertigation levels, viz. 125% (T2) 100% (T3), 75% (T4), and 50% (T5) of RDF) replicated six times. The findings revealed that among all the treatments, the highest trunk girth (0.60 m), tree height (3.50 m), tree spread in east-west (3.80 m) and north-south (3.67 m) directions and canopy volume (24.70 m3) was recorded in treatment T2 (125% RDF) followed by treatments T3, T4, and T5, which were superior over the control (T1). The maximum fruit weight (194.2 g) in treatment T2 was found to be statistically at par with that recorded in treatment T3. Similarly, the minimum fruit weight (168.5 g) recorded in treatment T5 (50% RDF) was found to be statistically at par with that recorded in control treatment T1 (174.9 g) with 100% RDF as soil application. The highest fruit yield (40.98 kg tree-1 and 13.65 t ha-1) was recorded in treatment T2 followed by 100% fertigation (38.83 kg tree-1) and was found to be at par with treatment T4 (75% fertigation). Significant effects of the fertigation were noticed in fruit quality parameters, i.e., acidity and total soluble solids-acidity ratio, juice content and vitamin C except for total soluble solids, which increased significantly as compared to soil application of 100% RDF. The findings suggested that treatment T4 (75% RDF) as the most economically efficient treatment, with a cost of Rs. 160,868 and the highest benefit-cost ratio of 1.92, providing substantial net returns of Rs. 308,292 while saving 25% fertilizer usage

    Quantifying Soil Erosion and Identifying Sites for Conservation Measures Using Geospatial Technology in Tilga Watershed, Odisha, India

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    Soil erosion is one of the major causes of land degradation and is an environmental problem especially in the developing countries. Assessment of soil erosion accurately, and identification of the sensitive regions are among the prior needs for effective management of soil and water resources. This study was conducted for planning and management of soil and water resources in Tilga watershed of Brahmani River basin in India by geospatial approach integrating geographic information system and remote sensing. A spatial soil loss map of the study area was created using the revised universal soil loss equation (RUSLE) model by considering factors such as topography, land use/land cover, rainfall erosivity, soil erodibility, and conservation measures. The results revealed that the average annual soil loss from the watershed was 8.96 t ha-1, with the maximum value of 12,647 t ha-1. This resulted in a total annual soil loss of 3.514 million tons from the entire area of the watershed. In addition, a suitability map was developed by weighted overlay analysis, which identified the suitable locations for implementing soil and water conservation structures. Furthermore, a runoff map developed in Google Earth Engine using soil conservation service - curve number method identified optimum sites for construction of water harvesting structures such as check dams, farm ponds, percolation tanks, and nala bunds. This study offered useful insights and a practical framework for guiding sustainable natural resource management interventions in the watershed

    Precision Agriculture in India: Seizing Practical Opportunities and Addressing Key Challenges in Micro Irrigation

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    Greenhouse Technology: Contribution to Indian Agriculture, Opportunities, and Challenges

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