PRECISION AGRONOMY FOR RICE PRODUCTION: INTEGRATING SOIL FERTILITY MAPPING, REMOTE SENSING, OPTIMIZED NITROGEN MANAGEMENT, AND WATER-SAVING IRRIGATION IN PAKISTAN
Abstract
Rice (Oryza sativa L.) is the second most critical staple food and export commodity in Pakistan, cultivated on 2.50–2.74 million hectares with annual production of 6.00–6.80 million metric tons. However, the sector faces severe challenges from flood-irrigated systems consuming 2,500–5,000 liters of water per kilogram of paddy, widespread soil degradation characterized by low organic matter (<1.0%), alkaline pH (7.28–8.23), and extensive nutrient deficiencies. Conventional uniform fertilizer applications result in nitrogen losses of 40–50% and poor nutrient use efficiency (10–20 kg grain kg⁻¹ N). This review synthesizes precision agronomy strategies integrating geostatistical soil fertility mapping, remote sensing, site-specific nitrogen management (SSNM), and water-saving irrigation for Pakistani rice systems. Geostatistical interpolation using Ordinary Kriging delineates management zones based on spatial variability, with zinc deficiency affecting over 47% of agricultural land. Remote sensing via Sentinel-2 red-edge bands and UAV hyperspectral imagery coupled with machine learning enables accurate nitrogen stress detection (R² > 0.85). SSNM using Leaf Color Chart and SPAD meters saves 27.5–75 kg N ha⁻¹ while maintaining yields. Alternate Wetting and Drying reduces irrigation water use by 20–44%, increases water productivity by 38.7–50%, and decreases methane emissions by 30–70%. Direct Seeded Rice saves 20–35% water and reduces labor by 60%. Synergistic integration of these technologies offers a pathway to enhance productivity, optimize resource use, and bolster climate resilience in Pakistani paddy production, though land fragmentation, limited extension capacity, and unequal water access remain adoption barriers requiring coordinated policy interventions.
Keywords
- Precision agriculture; Site-specific nutrient management; Alternate wetting and drying; Remote sensing; Soil fertility mapping; Water use efficiency; Rice; Pakistan.
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