Potential dermal exposure and ergonomic assessment in greenhouse spraying.

Greenhouses are space-efficient structures used in the production of produce. However, occupational health issues like exposure to chemicals, and physiological and postural stresses are experienced by operators while performing farm activities due to the enclosed environment of the greenhouse. This study assesses chemical exposure and physiological and postural parameters of operators during spraying with two different types of sprayers (Battery-powered knapsack sprayer [Battery sprayer] and AC-powered stationary sprayer [Stationary sprayer]) with two different application techniques (continuous and alternate row).

Corrigendum: Sensor-based precision nutrient and irrigation management enhances the physiological performance, water productivity, and yield of soybean under system of crop intensification.

[This corrects the article DOI: 10.3389/fpls.2023.

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique.

An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and groundwater pollution reduction. However, past studies could not efficiently model nitrate leaching due to utilisation of conventional algorithms. To address the issue, the current research employed advanced machine learning algorithms, viz.

Sensor-based precision nutrient and irrigation management enhances the physiological performance, water productivity, and yield of soybean under system of crop intensification.

Sensor-based decision tools provide a quick assessment of nutritional and physiological health status of crop, thereby enhancing the crop productivity. Therefore, a 2-year field study was undertaken with precision nutrient and irrigation management under system of crop intensification (SCI) to understand the applicability of sensor-based decision tools in improving the physiological performance, water productivity, and seed yield of soybean crop. The experiment consisted of three irrigation regimes [I: standard flood irrigation at 50% depletion of available soil moisture (DASM) (FI), I: sprinkler irrigation at 80% ET (crop evapo-transpiration) (Spr 80% ET), and I: sprinkler irrigation at 60% ET (Spr 60% ET)] assigned in main plots, with five precision nutrient management (PNM) practices{PNM-[SCI protocol], PNM-[RDF, recommended dose of fertilizer: basal dose incorporated (50% N, full dose of P and K)], PNM-[RDF: basal dose point placement (BDP) (50% N, full dose of P and K)], PNM-[75% RDF: BDP (50% N, full dose of P and K)] and PNM-[50% RDF: BDP (50% N, full P and K)]} assigned in sub-plots using a split-plot design with three replications.