Simone Pietro Garofalo

Simone Pietro Garofalo
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Simone verified their affiliation via an institutional email.
Verified
Simone verified their affiliation via an institutional email.
  • PhD in Sustainable Land Management
  • PostDoc Position at Council for Agricultural Research and Agricultural Economy Analysis

About

20
Publications
2,420
Reads
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116
Citations
Current institution
Council for Agricultural Research and Agricultural Economy Analysis
Current position
  • PostDoc Position
Additional affiliations
February 2024 - present
Council for Agricultural Research and Economics
Position
  • PostDoc Position

Publications

Publications (20)
Article
Full-text available
The world economy is no longer able to balance the planet’s ecosystems. Hence, we need to shift cotton production to sustainable, solar-powered circular economics. Regenerative cotton production has emerged as a nature-based solution to overcome the environmental challenges. However, knowledge on regenerative practices in the Mediterranean region i...
Article
Full-text available
Chlorophyll fluorescence is a useful indicator of a plant’s physiological status, particularly under stress conditions. Remote sensing is an increasingly adopted technology in modern agriculture, allowing the acquisition of crop information (e.g., chlorophyll fluorescence) without direct contact, reducing fieldwork. The objective of this study is t...
Article
Full-text available
The growing demand for renewable energy sources and the need to optimize water use in agriculture, particularly in water-scarce regions, highlights the importance of growing species suitable for semi-arid areas, such as sorghum (Sorghum bicolor L. Moench). Deficit irrigation strategies allow water savings by optimizing water use efficiency. However...
Article
Full-text available
Water scarcity, exacerbated by climate change and increasing agricultural water demands, highlights the necessity for efficient irrigation management. This study focused on estimating actual evapotranspiration (ETa) in watermelons under semi-arid Mediterranean conditions by integrating high-resolution satellite imagery and agro-meteorological data....
Article
Full-text available
This study investigated the application of high-resolution satellite imagery from SuperDove satellites combined with machine learning algorithms to estimate the spatiotemporal variability of some winter wheat parameters, including the relative leaf chlorophyll content (RCC), relative water content (RWC), and aboveground dry matter (DM). The researc...
Article
Full-text available
New challenges will be experienced by the agriculture sector in the near future, especially due to the effects of climate change. For example, rising temperatures could result in increased evapotranspiration demand, causing difficulties in the management of irrigation practices. Generally, an important predictor of plant water status to be taken in...
Article
Full-text available
Climate change and water scarcity bring significant challenges to agricultural systems in the Mediterranean region. Novel methods are required to rapidly monitor the water stress of the crop to avoid qualitative losses of agricultural products. This study aimed to predict the stem water potential of cotton (Gossypium hirsutum L., 1763) using Sentin...
Article
Full-text available
Xylella fastidiosa subsp. pauca (Xfp) is a significant threat to Mediterranean agriculture, particularly impacting olive trees in southern Italy, causing Olive Quick Decline Syndrome. Resistant olive cultivars, such as ‘Leccino’ and ‘Fs-17’, have been identified as alternatives to restore the oliviculture within the infected areas. ‘Frantoio’ and ‘...
Article
Full-text available
Agroforestry integrates trees and crops to enhance sustainability and resilience in agricultural systems. This study evaluated the feasibility of cultivating cotton intercropped with peach trees under Mediterranean conditions, focusing on agronomic and physiological responses. The research aimed to evaluate how agroforestry affects cotton's agronom...
Article
Full-text available
Site selection analysis is a fundamental methodology for the regeneration of Xylella fastidiosa subsp. pauca ( Xfp ) infected areas, with the introduction of Xfp immune/resistant tree crop species. The diffusion of these species could be assessed by combining ecological optima data, climate and soil attributes of the study area, and GIS tools. The...
Article
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Climate change is making water management increasingly difficult due to rising temperatures and unpredictable rainfall patterns, impacting crop water availability and irrigation needs. This study investigated the ability of machine learning and satellite remote sensing to monitor water status and physiology. The research focused on predicting diffe...
Article
Full-text available
Introduction The almond tree is a major global nut crop, and its production has surged dramatically in recent years. Super high-density (SHD) planting systems, designed to optimize resource efficiency and enhance precocity, have gained prominence in almond cultivation. A shift in cropping systems toward sustainable intensification (SI) pathways is...
Article
Full-text available
This research focuses on the seasonal patterns of the ecophysiological recovery of four olive cultivars (Arbequina, Coratina, Frantoio, and Urano), both micropropagated and self-rooted, grown in a mature, irrigated, super high-density (SHD) orchard under Mediterranean conditions (Southern of Italy). The aim was to observe the impact of the micropro...
Article
In recent years, severe climate change leading to by water scarcity reduced water quality has increased the need for effective irrigation strategies for agricultural production. Among these, the reuse of reclaimed water represents a non-expensive and reliable solution. The effect of conventional or reclaimed water, applying convention or smart fert...
Article
Full-text available
Introduction In the context of climate change, monitoring the spatial and temporal variability of plant physiological parameters has become increasingly important. Remote spectral imaging and GIS software have shown effectiveness in mapping field variability. Additionally, the application of machine learning techniques, essential for processing lar...
Conference Paper
El Mediterráneo es una de las áreas más sensibles del planeta y está altamente expuesto al riesgo de sequía. El cambio climático y la explotación excesiva de los recursos naturales desembocarán en una reducción aún mayor de la disponibilidad de agua, energía y alimentos, así como a un desequilibrio en el ecosistema. Esto tendrá un impacto significa...
Article
Full-text available
Assessing plant water status accurately in both time and space is crucial for maintaining satisfactory crop yield and quality standards, especially in the face of a changing climate. Remote sensing technology offers a promising alternative to traditional in situ measurements for estimating stem water potential (Ψstem). In this study, we carried out...
Article
Full-text available
The efficient management of irrigation water can affect crop profitability quite significantly. The application of precision irrigation based on soil monitoring can help manage water resources. In viticulture, the irrigation technique is thought to strongly influence grape ripening and the final grape composition. In this study, an irrigation decis...
Article
Full-text available
Olive agro-ecosystems in southern Italy have been heavily damaged due to Xylella fastidiosa subsp. pauca (Xfp). Replacing the Xfp-infected olive-growing areas with economically viable fruit tree species is thought to be a practical control measure. A land suitability analysis can provide an appropriate evaluation of a crop’s suitability in these ar...
Article
Full-text available
Ground vehicles equipped with vision-based perception systems can provide a rich source of information for precision agriculture tasks in orchards, including fruit detection and counting, phenotyping, plant growth and health monitoring. This paper presents a semi-supervised deep learning framework for automatic pomegranate detection using a farmer...

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