2024/2/16/ · Precision agriculture has emerged as a transformative approach in modern farming practices, aiming to optimize resource utilization, increase crop yield, and minimize environmental impacts. The
Precision agriculture, facilitated by advancements in Artificial Intelligence (AI), has emerged as a transformative paradigm in modern farming. This review comprehensively examines the
findings provide references for developing precision poultry farming systems on commercial broiler and egg farms to address poultry production, welfare, and health associated issues for
2023/9/23/ · IoT-based automated hydroponic cultivation systems are innovative farming systems that use IoT technology to monitor and control the various parameters of a hydroponics system, such as temperature, humidity, light, and nutrient levels.
2020/7/1/ · Agriculture sustainability is the key to ensure food security and hunger eradication for the ever-growing population. It is estimated that global food production must be increased by 60–110% to feed 9–10 billion of the population by 2050 (Tilman et al., 2011; Pardey et al., 2014; Rockström et al., 2017).).
2024/12/4/ · Discover how precision agriculture enhances sustainable farming practices for a greener, more efficient future. This automation increases efficiency and reduces waste. Moreover, it allows for proactive decision-making. Overall, IoT contributes to sustainable ...
2023/7/31/ · Precision agriculture is a rapidly advancing field that combines advanced technologies and data analytics to improve crop productivity and resource management. This article
2023/5/5/ · Precision Agriculture (PA) offers a solution to these challenges by minimizing resource use and maximizing yield through a multidisciplinary approach that includes engineering, AI, and robotics
2024/2/1/ · Download Citation | Enhancing Sustainable Crop Production through Innovations in Precision Agriculture Technologies | Precision agriculture technologies provide innovative tools to optimize crop
Robots and autonomous machines represent a high level of application of automation to agriculture, which is based on a precise and resource-efficient approach that attempts to sustainably achieve a higher efficiency in the production of agricultural goods with an
Smart arming prediction models orprecision agriculture: 5731 1 3 it is still practised by the mere experience of the elderly people. However, the accurate prediction of these crucial farming factors can best be achieved with the aid of machine learning techniques. In
2024/10/3/ · Machine Learning (ML) is transforming agriculture, especially precision agriculture. This research shows how ML improves IOT-based agriculture precision AI system performance and accuracy. ML analyzes soil composition, weather patterns, and crop health indicators in real time using advanced algorithms and prediction models. This approach aids
2024/8/1/ · The progress in many agricultural areas has been sped up by the remarkable development of machine learning (ML) and Artificial Intelligence (AI) vision in agriculture [5].Initially employed for crop monitoring and production prediction [6], machine learning techniques have since broadened to encompass a variety of agricultural applications.
2023/11/19/ · In the results and analysis of Logistic Regression, Random Forest, SVC, K Neighbors Classifier, and XGBoost Classifier for predicting crop yield categories, the following evaluation metrics can be used: accuracy, precision, recall, and F1 score. Here's an
