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Sarthak Patel

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Aug 2026

Synergistic Effects of Organic Manures and Nano-DAP on Growth, Productivity and Nutrient Uptake in Wheat

A significant issue in the wheat production systems is the need to increase the efficiency of nutrient use without compromising soil health. This paper has examined the synergistic impact of organic manures, Nano-DAP on growth, yield and soil fertility of wheat (Triticum aestivum L.) under field conditions during the Rabi seasons of 2023-24 and 2024-25 in Lucknow, India. The treatments were: green manure, farmyard manure and vermicomposting (5 t ha-1), with various nutrient management strategies based on Nano-DAP. The findings indicated that vermicompost was highly beneficial in promoting crop growth, with the highest values in terms of plant height, density and biomass growth. Nano-DAP seed treatment and foliar sprays, combined with 100% NPK, created the greatest grain yield (49.64 q ha-1) and better yield characteristics than traditional fertilization. It was also seen that the combined application enhanced the uptake of nutrients and the soil fertility status.In general, the results imply that the combination of organic Manures and NanoDAP is an efficient and sustainable approach to nutrient management to achieve better wheat yields and better soil health.

Ekta Singh, Abdul Mazeed, Saba Siddiqui et al. · 0 citations
Open access Jul 2026

Beyond Price and Benchmark: A Cost–Methodology–Fit Framework for Selecting AI Developer Tools, with a Proposed Evaluation Protocol

The market for AI software-development tools has expanded faster than the frameworks used to evaluate it, leaving practitioners to choose among code-completion assistants, AI-native integrated development environments (IDEs), and terminal-native agents on the basis of headline price or benchmark rank — neither of which predicts realised value. This paper makes two contributions. First, it develops the Cost–Methodology–Fit (CMF) framework, an analytical model that treats tool selection as the alignment of a team's dominant workflow with a tool's interaction paradigm and billing structure, grounded in the established SPACE model of developer productivity [1]. Second, drawing on a systematic documentary comparison of leading tools (verified June 2026) and on the conflicting experimental literature — a controlled trial reporting a 55.8% task speed-up [2] against a randomised trial of experienced developers reporting a net slowdown [3] — it derives the central claim that AI-tool value is workflow-contingent, not tool-intrinsic. Because documentary comparison cannot establish causal productivity effects, the paper additionally specifies a reproducible mixed-methods evaluation protocol that adopting organisations can run to measure fit in their own context. We report the framework and protocol, not new empirical outcomes, and state this scope explicitly. Findings indicate the market has bifurcated by billing model, that capability is increasingly a model-level rather than tool-level property, and that hybrid tool stacks are a rational response to fit-contingency. Keywords: developer productivity; SPACE framework; usage-based pricing; agentic development; evaluation protocol; tool selection

Sarthak Patel, Jinit Patel · 0 citations