Feasibility of Multispectral Observations for Detecting Nitrogen Stress and Yield Potential in Cotton (Gossypium hirsutum L.) through Remote Sensing

The present investigation was conducted during kharif 2019-20 at Department of Agronomy farm, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola. experiment laid out in randomized block design with seven treatments and three replications. Treatments consisted different nutrient management practices including FYM nitrogen doses viz., Absolute Control (N1), @ 5 t ha-1 (N2), N2 + 30 kg N (N3), 60 (N4), 90 (N5), +120 (N6) 150 (N7). Cotton crop sown on 29th June 2019 harvested four pickings. Among various spectral bands, significantly higher positive negative correlation coefficient values (at 0.05 % level significance) for plant chlorophyll content were noted the simple ratio NIR/G (r2=0.829) G/NIR(r2=-0.826), respectively, being most efficient detecting stress cotton crop. Yield potential established (both) R/NIR (r2=-0.815 r2=-0.869) NIR/R (r2=0.811and r2=0.865) respectively 180 DAS.