The objective of this study was to evaluate the effects of the government intervention on the expansion of the natural rubber production in São Paulo and Mato Grosso states. The method used was the policy analysis matrix, developed by MONKE and PEARSON (1989). The results ...

Soil organic carbon (SOC) is intrinsically linked to global carbon balance, climate change mitigation, soil health, and agricultural productivity. Therefore, obtaining accurate information on the spatial-temporal of the soil organic carbon stock (SOCS) is essential. We proposed a four-dimensional (4D)...

Soil is the largest terrestrial carbon reservoir and can be a source or sink of CO2 for the atmosphere, depending on management practices. CO2 emissions from the soil surface (FCO2) are directly related to the biological and physicochemical soil properties. Our objective was to...

Muitas das tecnologias desenvolvidas para a cultura do pimentão estão voltadas para a melhoria da produtividade e da aparência dos frutos sem considerar aspectos como sabor, valor nutricional e resíduos tóxicos remanescentes. O presente trabalho teve como objetivos avaliar o efeito de p...

The proper use of agro-industrial waste is a sustainability strategy and can be applied in the forestry chain to replace polypropylene tubes. This study evaluated the performance of three different biodegradable containers (110 cm3), made from malt bagasse, poultry litter, and coconut c...

Soil spectral libraries (SSLs) are commonly built with expensive proximal sensors, while satellite spectral data are free and widely available. This study investigates how service providers can construct a satellite-based SSL to deliver soil information to stakeholders. We propose the Soil S...

Methods for assessing soil carbon must be fast and accurate to support soil health and security evaluation, measurement, reporting and verification of carbon stocks. Visible-near infrared (Vis-NIR) spectroscopy minimizes the costs and time required for assessing soil carbon. Soil samples were...

Recent advances in statistical and machine learning (ML) methods have improved the prediction of soil attributes at fine spatial scales, yet the comparative performance and reliability of these techniques remain unclear. This study compared Ordinary Kriging (OK), Inverse Distance Weighting (IDW),...

Purpose: Corn (Zea mays L.) requires an adequate supply of potassium (K) to achieve high productivity. Potassium chloride (KCl) is the main fertilizer source used, but its excessive application can increase soil salinity and production costs. Organomineral fertilizers (OMF) have emerged as&#...