Data-driven insights are essential for modern agriculture. This research paper introduces a
machine learning framework designed to improve how we educate and reach out to people …

It is hard to imagine where we would be today without the algorithm or the computer
technology and we certainly would miss important luxuries (and even necessities) if there …

The technology which could make our lives prosper within the four walls could also help to
create our own corner of nature nourish. In this paper, we propose a smart gardening system …

Abstract Machine learning and especially deep learning techniques have led to significant
success in the last decade and have been predominantly applied to visual data, natural …

Agriculture is one of the most fundamental human occupation. As long as we have pursued
it, we have tried to master it. Better techniques produce greater yields. This, in turn, kept …

There are two common ways in which developers are incorporating proprietary and domain-
specific data when building applications of Large Language Models (LLMs): Retrieval …

This paper presents a novel application of machine learning through a mobile application
that is used to address the requirements of hobby horticulturists through to the agricultural …

1. Functional plant ecology aims to understand how functional traits govern the distribution
of species along environmental gradients, the assembly of communities, and ecosystem …

Crop analysis and prediction is a rapidly growing field that plays a vital role in optimizing
agricultural practices. Crop recommendation plays a pivotal role in agriculture, empowering …

In response to the increasing global demand for food, feed, fiber, and fuel, digital agriculture
is rapidly evolving to meet these demands while reducing environmental impact. This …