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Exploring dynamic nitrogen (N) fertigation guided by multispectral sensors: a sustainable optimization of N fertilization in processing tomato

Dynamic management of nitrogen (N) guided by multispectral sensors can help match in-season crop N requirements with precise N supply through fertigation. In the present work, different dynamic strategies to optimise N fertigation in processing tomatoes were explored in two plot experiments across two different years and locations, compared with a well-fertilised control (180 kg N ha-1, N180). In dynamic N strategies, the green vegetation index (GVI) was monitored with a hand-held multispectral radiometer.

Practice Abstract: “How to produce mushrooms inside a shipping container in an urban environment”

Urban agriculture has long been identified as a valid solution to guarantee food security and the creation of small profitable businesses in developing and non-developing countries. As is known, the number of inhabitants in cities has recently exceeded the number of inhabitants in rural areas, resulting in an extension of the concrete surface and a greater distance from food supply areas.

Practice Abstract: “Aquaponics with fish sludge anaerobic digestion”

Aquaponics is a sustainable agricultural practice that integrates aquaculture (fish farming) and hydroponics (growing plants without soil). This symbiotic system allows for the efficient production of both fish and plants, where the fish waste provides essential nutrients for plant growth, and the plants, in turn, help purify the water for the fish.

Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato

Hyperspectral imaging is widespread in crop nitrogen (N) monitoring for precision agriculture, although approaches that address the agronomical recommendation of the optimal N rate are still lacking. Here, two approaches are explored in defining the optimal N rate to be supplied in fertigated processing tomatoes through hyperspectral imaging. The first one, called the N uptake approach, focuses on the virtual reproduction of the critical N uptake curve through the estimation of both aboveground biomass and crop N uptake.

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