Countries are working into making agriculture more sustainable by integrating different technologies to enhance its operation. Implementing improvements in irrigation systems is …
The world is currently striving to achieve the globally adopted sustainable development goals (SDGs). Exploring the role of technology in achieving the SDGs is critical for the …
The art of predicting crop production is done before the crop is harvested. Crop output forecasts will help people make timely judgments concerning food policy, prices in markets …
T Van Klompenburg, A Kassahun, C Catal - Computers and electronics in …, 2020 - Elsevier
Abstract Machine learning is an important decision support tool for crop yield prediction, including supporting decisions on what crops to grow and what to do during the growing …
With increasing population, the demand for agricultural productivity is rising to meet the goal of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
Y Zhang, J Liu, W Shen - Applied Sciences, 2022 - mdpi.com
Machine learning algorithms are increasingly used in various remote sensing applications due to their ability to identify nonlinear correlations. Ensemble algorithms have been …
Agriculture plays an important role in sustaining all human activities. Major challenges such as overpopulation, competition for resources poses a threat to the food security of the planet …
R Ben Ayed, M Hanana - Journal of Food Quality, 2021 - Wiley Online Library
The world population is expected to reach over 9 billion by 2050, which will require an increase in agricultural and food production by 70% to fit the need, a serious challenge for …
M Torky, AE Hassanein - Computers and Electronics in Agriculture, 2020 - Elsevier
Blockchain quickly became an important technology in many applications of precision agriculture discipline. The need to develop smart P2P systems capable of verifying …