The NDVI showed a strong correlation ( R 2 = 0.85) with leaf area index (LAI) ( Sankaran et al., 2015), which is defined as the total leaf area per unit of ground area ( Watson, 1937). Among all VIs, the normalized difference vegetation index (NDVI) ( Sellers, 1985) is probably the most widely reported and used vegetation index ( Padilla et al., 2018). The VIs must be measured directly from the crop canopy although some other specific vegetation indexes differentiate crop vegetation from the soil surface, for example, the soil adjusted vegetation index (SAVI) ( Huete, 1988). One should be wise to choose an optimal VI and/or their combinations for accurate estimation of crop yield ( Chlingaryan et al., 2018). Some of the most commonly used VIs are presented in the Table 3, although > 100 VIs have been reported ( Bannari et al., 1995 Ollinger, 2011 Xue and Su, 2017) for different applications. ![]() Vegetation indices are mathematical combinations of several spectral bands mainly the red, green and infrared wavelengths, and they are designed to find functional relationships between crop characteristics and sensing observations ( Wiegand et al., 1989). Therefore, a group of vegetation indexes (VIs) are being repeatedly reported for monitoring crop quality and predicting crop yield ( Marino and Alvino, 2014). Early detection of crop biotic and abiotic stresses is also essential to reduce yield losses and increase profitability. Assessment of overall crop growth and health condition cannot be done directly by measuring crop morphological attributes. Canopy dimensions including crop height, width and volume were widely considered to develop variable rate recommendation ( Rüegg et al., 1999 Viret et al., 2007). Multiple studies reported the use of canopy information as potential indicators to predict crop yield ( Villalobos et al., 2006 Zaman et al., 2006) and biomass production ( Ehlert et al., 2008). Crop canopy and it's geometric characteristics are the key indicators of crop growth and productivity ( Lee and Ehsani, 2009). “We are confident that this partnership can better support iBASEt’s customers worldwide through the expertise ATS provides to successfully deploy and support new and existing clients going forward.Crop quality indicators can be used as the measure of crop health and yield potentiality. “We are excited to partner with ATS Global to expand our market presence with an industry leader that understands the requirements to successfully implement manufacturing operations solutions,“ said Tom Hennessey, CMO, iBASEt. “This collaboration will unlock greater value for our customers, expanding their digital initiatives on a global scale.” ![]() “Partnering with iBASEt allows us to expand our solution offering with the best-in-class smart manufacturing solution for complex discrete manufacturing,” said Martine Melis, Chief Commercial Officer, ATS Global. These manufacturers can then improve the performance of automated business processes spanning both internal operations and external supply chains. Many complex discrete manufacturers across Europe and Asia Pacific are looking to ATS Global and iBASEt for a smart digital transformation path that can streamline operations and intelligently automate processes. ATS Global’s skills in implementing iBASEt’s innovative solutions, based on a microservices architecture, can provide new options to ease these challenges while helping organizations achieve their Industry 4.0 vision. Today’s industrial manufacturers are seeking new revenue opportunities for growth, investing in better support for ‘anywhere operations’, and upgrading systems to respond faster to change or uncertainty. ![]() The partnership will leverage ATS Global’s network and worldwide presence to offer, implement, and support iBASEt’s visionary solutions across manufacturing, quality, and MRO operations. 26, 2021 – iBASEt, the company that simplifies how complex products are built and maintained, today announced an expanded global partnership with ATS Global, the independent solution provider for smart digital transformation.
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