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SFMToolbox is an ArcGIS Python toolbox developed in ArcGIS Desktop (ArcMap) to perform preprocessing tasks for the automatic creation of maps of soil fertility parameters. Through SFMToolbox, users can automatically produce 12 soil fertility parameter maps as a batch at one time. It is easy to use, where users can only provide input; the output files are automatically created from the name of the sample point and saved in the defined workspace. During the execution of the tools, various processes, such as Inverse Distance Weighted (IDW) - a technique of interpolation, reclassification, adding color, merging, projection, area calculation, and legend are done automatically for all 12 parameters at the same time. The SFMToolbox was validated as part of the following case study: village - Kashipur, tehsil - Balrampur, district - Balrampur, state - Uttar Pradesh, Country - India. The results show that the user can quickly generate maps and save time, improve accuracy, and reduce human intervention and ensure uniformity among maps. This toolbox also applied to Cycle II data from the Government of India's Soil Health Card (SHC) scheme and timely produced 12-parameters soil nutrient maps for 630 districts in a uniform format. The toolbox may be used by public and private organizations to make timely decisions on agricultural and environmental issues. [ABSTRACT FROM AUTHOR]

Incessant and disproportionate application of inorganic nutrients has deteriorated soil properties. An investigation was carried out to validate fertilizer requirement developed through soil test based crop response study to obtain desired yield of brinjal in Mollisol of Pantnagar during kharif season of 2019. The study revealed that maximum fruit yield, number of fruits per plants, fruit length and fruit diameter of brinjal was obtained under treatment with TY1 (250q ha−1) +10t ha−1 FYM (T6) (128:111:39 of N, P2O5, and K2O, respectively). In the initial phase of the investigation, experimental field was divided into three strip to which different doses of fertilizers were applied in low (no fertilizer application), medium (100:100:100 kg ha−1 of N, P, and K, respectively) and high (200:200:200 ha−1 of N, P, and K, respectively) proportion to create an artificial fertility gradient to bring heterogeneity in the experimental soil for the test crop. Further, in the second phase the response of brinjal to selected combinations through FYM, nitrogen, phosphorus and potassium in different soil fertility strips was also computed for spring and kharif seasons. With soil analysis, nutrient uptake studies, and yield the basic data for fertilizer prescription was worked out for both seasons. Further, using pooled data fertilizer prescription equation was generated for brinjal at different soil test values and yield targets. Response of brinjal in terms of growth, yield and nutrient uptake was studied to various soil test based fertilizer prescription at verification trial. The maximum microbial biomass carbon (427.29 μg g−1 soil), microbial biomass nitrogen (39.30 μg g−1), phosphates activity and dehydrogenase (150.36 µg TPF 24 h−1 g−1 soil) was reported under treatment TY2 (250q ha−1) +10t ha−1 FYM (T6) (128:111:39, of N, P2O5 and K2O, respectively). The balanced application of nutrients along with application of organic manure has ensured improvement in response of brinjal over general recommendation. [ABSTRACT FROM AUTHOR]