(a) Write down the principles involved in Integrated Watershed Management. Briefly discuss the relevance of Integrated Watershed…

(a) Integrated Watershed Management (IWM) operates on these principles: the watershed as the planning unit; ridge-to-valley treatment (treat the upper catchment first, then drainage lines); in-situ conservation of rain where it falls and safe disposal of excess runoff; integration of land, water, vegetation and livestock; people's participation through watershed committees and user groups; equity for the landless and women; and convergence of schemes. In India these are laid down in the Common Guidelines for Watershed Development and implemented through the Watershed Development Component of PMKSY (WDC-PMKSY 2.0). Under climate change, IWM is critical for mitigating erratic rainfall impacts. By enhancing soil organic matter, it facilitates carbon sequestration and improves water retention, thereby reducing drought vulnerability. Furthermore, structured interventions like check dams and afforestation promote groundwater recharge, ensuring water security during prolonged dry spells and stabilizing agricultural yields against climatic shocks.

(b) Irrigation Scheduling refers to the strategic timing and depth of irrigation to match crop water requirements, optimizing yield per unit of water. The IW/CPE ratio (Irrigation Water/Cumulative Pan Evaporation) is a key criterion. A fixed depth of water (IW, usually 50–60 mm) is applied whenever the cumulative evaporation from a USWB Class A pan since the last irrigation (net of effective rain) reaches IW ÷ chosen ratio. For example, with IW = 60 mm and a ratio of 0.8, irrigation is given when CPE reaches 75 mm. Ratios of about 0.6–1.0 are recommended for different crops (for wheat, about 0.8–0.9). The merit of this method is its simplicity and reliance on easily measurable pan evaporation data, making it field-friendly. It also links water use to atmospheric demand. However, its demerits are that it needs a pan and daily records, and it fails to account for specific soil hydraulic properties or varying crop sensitivity at different growth stages, potentially leading to over- or under-irrigation if not calibrated locally.

(c) Price Instability refers to the erratic fluctuations in agricultural commodity prices, which disrupt farm income and market planning. The primary types are seasonal (variations between harvest and lean seasons), cyclical (long-term business cycles), secular/trend (long-term upward or downward shifts), and irregular/random (unpredictable shocks due to weather or policy). To measure this instability, economists use the Coefficient of Variation (CV), which standardizes volatility relative to the mean price. Because a plain CV overstates instability when prices have a trend, the Cuddy–Della Valle Instability Index (CV × √(1 − adjusted R²) of the fitted trend) is widely used; Coppock's Instability Index (based on year-to-year changes in log prices) and the standard deviation of price changes are other measures. These tools help quantify risk for policy interventions like price support schemes.

(d) New Tools in Agricultural Extension have changed knowledge dissemination. ICT-based tools like Kisan Call Centres (1800-180-1551), the mKisan SMS portal, the Kisan Suvidha app, farmer video (Digital Green), community radio and WhatsApp groups provide market, weather and advisory information. The AI chatbot Kisan e-Mitra answers farmers' queries on schemes. Precision agriculture tools, including drones for crop health monitoring and soil sensors, enable data-driven decision-making. Participatory and pluralistic methods such as Farmer Field Schools (FFS), participatory rural appraisal, farmer-to-farmer extension, the ATMA model and FPO-based extension foster peer learning, with Krishi Vigyan Kendras (KVKs) as the district-level hub. Additionally, AI/ML applications are emerging for pest prediction and yield estimation. These tools bridge the information gap, ensuring timely, accurate, and personalized advice reaches farmers, thereby enhancing adoption rates of modern technologies.

(e) Calculation for Pump Operation Duration:

First, determine the total volume of water required. Area = 6 hectares = 60,000 m². Depth per irrigation = 60 mm = 0.06 m. Number of irrigations = 4. Total Volume = Area × Depth × Number of Irrigations Total Volume = 60,000 m² × 0.06 m × 4 = 14,400 m³.

Next, determine the pump’s discharge rate in cubic meters per second. Discharge = 5 litres/second. Since 1,000 litres = 1 m³, Discharge = 5/1000 = 0.005 m³/s.

Calculate the total time in seconds. Time (seconds) = Total Volume / Discharge Rate Time = 14,400 m³ / 0.005 m³/s = 2,880,000 seconds.

Finally, convert seconds to days. Seconds in a day = 60 minutes/hour × 60 seconds/minute × 24 hours/day = 86,400 seconds. Duration (days) = 2,880,000 / 86,400 = 33.33 days.

Thus, the pump must operate for approximately 33.33 days (800 hours) of continuous running to complete the four irrigations, assuming no conveyance or application losses.