Users are cleverly playing with profile banners. The setup usually starts with a post about struggling to crop or format an ...

Refusing to crop isn’t purism, it’s paralysis. Perhaps it’s time to rethink the way we approach the frame. Cropping shouldn’t be seen as failure, but as part of the creative process, just as valid as ...

In this section you'll find photographic features that explore holidays and photography courses, details about members meetings, trials and tribulations of installing new software along with general ...

Buying the right camera, lens, accessory or software to suit your photography is really important. Our product reviews offer independent views with hands-on opinion and honest verdicts aimed to give ...

While many people think of Acrobat only as a PDF viewer or editor, its design capabilities make it possible to start with a blank page and build a fully customised document from s ...

Naidu said agriculture contributed nearly 35 per cent to AP’s Gross State Domestic Product. Of the overall Gross Value Added ...

Macworld How often have you wished the rigid PDFs you receive could be turned into something workable? Whether it’s a form you need to fill out, a contract that needs edits, or a report that has to be ...

Macworld Editing a PDF should not require expensive software or recurring bills. With PDF Reader Pro, Mac users can edit, convert, sign, and organize files for a one-time payment of $39.99 (MSRP ...

Abstract: Semantic segmentation based on satellite image time series (SITS) is fundamental to a wide range of geospatial applications, including land cover mapping and urban development analysis. By ...

Greenhouse farming is entering a new era as artificial intelligence (AI) and vision-based technologies are deployed to tackle persistent challenges of crop monitoring. A new study presents a ...

Abstract: Currently, the agricultural population is rapidly decreasing in Korea, and the aging population is getting worse. Therefore, the development of smart farm-related technologies is more ...

This project implements a binary classification system to distinguish between crops and weeds using computer vision and deep learning techniques. The model uses a CNN architecture optimized for image ...