Introduction In the context of climate change, monitoring spatial and temporal variability plant physiological parameters has become increasingly important. Remote spectral imaging GIS software have shown effectiveness in mapping field variability. Additionally, application machine learning techniques, essential for processing large data volumes, seen a significant rise agricultural applications. This research was focused on carob tree, drought-resistant tree crop spread through...

This study investigated the application of high-resolution satellite imagery from SuperDove satellites combined with machine learning algorithms to estimate spatiotemporal variability some winter wheat parameters, including relative leaf chlorophyll content (RCC), water (RWC), and aboveground dry matter (DM). The research was carried out within an experimental field in Southern Italy during 2024 growing season. Different (ML) were trained compared using spectral band data calculated...

Assessing plant water status accurately in both time and space is crucial for maintaining satisfactory crop yield quality standards, especially the face of a changing climate. Remote sensing technology offers promising alternative to traditional situ measurements estimating stem potential (Ψstem). In this study, we carried out field Ψstem an irrigated olive orchard southern Italy during 2021 2022 seasons. Water data were acquired at midday from 24 trees between June October years....

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 be a practical control measure. A land suitability analysis can provide an appropriate evaluation of crop’s these areas. We evaluate almond (Prunus dulcis B.), fig (Ficus carica L.), hazelnut (Corylus avellana kiwifruit (Actinidia chinensis P.), pistachio (Pistacia vera and...

Climate change is making water management increasingly difficult due to rising temperatures and unpredictable rainfall patterns, impacting crop availability irrigation needs. This study investigated the ability of machine learning satellite remote sensing monitor status physiology. The research focused on predicting different eco-physiological parameters in an irrigated peach orchard under Mediterranean conditions, utilizing multispectral reflectance data algorithms (extreme gradient...

This research focuses on the seasonal patterns of ecophysiological recovery four olive cultivars (Arbequina, Coratina, Frantoio, and Urano), both micropropagated self-rooted, grown in a mature, irrigated, super high-density (SHD) orchard under Mediterranean conditions (Southern Italy). The aim was to observe impact micropropagation method responses. Ecophysiological parameters, including leaf water potential (LWP), stomatal conductance (gs), net photosynthetic rate (Pn), transpiration (E)...

Site selection analysis is a fundamental methodology for the regeneration of Xylella fastidiosa subsp. pauca ( Xfp ) infected areas, with introduction immune/resistant tree crop species. The diffusion these species could be assessed by combining ecological optima data, climate and soil attributes study area, GIS tools. aimed to evaluate potential suitability eight immune crops, including Neglected Underutilized Species (NUS) drought-resistant new species, as follows: carob, hawthorn, prickly...

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 integrating high-resolution satellite imagery agro-meteorological data. Field experiments were conducted Rutigliano, southern Italy, over a 2.80 ha area. ETa was measured with eddy covariance (EC) technique predicted using...

The growing demand for renewable energy sources and the need to optimize water use in agriculture, particularly water-scarce regions, highlights importance of species suitable semi-arid areas, such as sorghum (Sorghum bicolor L. Moench). Deficit irrigation strategies allow savings by optimizing efficiency. However, potential bioethanol production with deficit is still not well studied. This work investigates impact three (full, deficit, regulated deficit) on biomass yield, ethanol...

Chlorophyll fluorescence is a useful indicator of plant’s physiological status, particularly under stress conditions. Remote sensing an increasingly adopted technology in modern agriculture, allowing the acquisition crop information (e.g., chlorophyll fluorescence) without direct contact, reducing fieldwork. The objective this study to improve monitoring olive tree (Fv′/Fm′) via remote Mediterranean environment, where frequency factors, such as drought, increasing. An advanced approach...

The efficient management of irrigation water can affect crop profitability quite significantly. application precision based on soil monitoring help manage resources. In viticulture, the technique is thought to strongly influence grape ripening and final composition. this study, an decision support system was compared a surface drip in commercial vineyard located Andrea (Southern Italy) planted with Vitis vinifera cv. Montepulciano. We aimed investigate ability DSS save while maintaining...

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 health monitoring. This paper presents semi-supervised deep learning framework automatic pomegranate using farmer robot consumer-grade camera. In contrast to standard deep-learning methods that require time-consuming labor-intensive image labeling, the proposed system relies on...

Climate change and water scarcity bring significant challenges to agricultural systems in the Mediterranean region. Novel methods are required rapidly monitor stress of crop avoid qualitative losses products. This study aimed predict stem potential cotton (Gossypium hirsutum L., 1763) using Sentinel-2 satellite imagery machine learning techniques enhance monitoring management cotton’s status. The research was conducted Rutigliano, Southern Italy, during 2023 growing season. Different...

New challenges will be experienced by the agriculture sector in near future, especially due to effects of climate change. For example, rising temperatures could result increased evapotranspiration demand, causing difficulties management irrigation practices. Generally, an important predictor plant water status taken into account for monitoring and is stem potential. However, it requires a huge amount time-consuming fieldwork, particularly when adequate data necessary fully investigate...

In recent years, severe climate change leading to by water scarcity reduced quality has increased the need for effective irrigation strategies agricultural production. Among these, reuse of reclaimed represents a non-expensive and reliable solution. The effect conventional or water, applying convention smart fertigation system, were investigated during two seasons on yield, qualitative biochemical traits pomegranates fruit (cv Wonderful One) at harvest, after storage 7 °C. results this study...

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 enhance precocity, have gained prominence cultivation. A shift cropping systems toward sustainable intensification (SI) pathways imperative, so maximizing branching density within the canopies of SHD trees crucial establish maintain productive potential, especially for hedge-pruned trees. This...

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 cultivars, such as ‘Leccino’ and ‘Fs-17’, have been identified alternatives restore the oliviculture within infected areas. ‘Frantoio’ ‘Cipressino’ are included ongoing studies on genetic resistance Xfp. The mechanization of harvesting essential for reducing production costs oil sector. Two systems,...