Chapter 6. Smart Irrigation and Cultivation Recommendation System for Precision Agriculture Driven by IoT Kumari, N.M.J., Thirupathi Rao, N. & Bhattacharyya, D. In: Machine Intelligence, Big Data Analytics, and IoT in Image Processing: Practical Applications 2023 Vegetation indices as a […]
Sugarcane (Saccharum officinarum L.) under saline stress: Growth, productivity, technological quality, and industrial yield Florentino de Morais, J.E., et al Industrial crops and products |188| November 2022 Detection of White Leaf Disease in Sugarcane Using Machine Learning Techniques over UAV […]
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops Amarasingam, N., et al Environment |26| April 2022 Improving sugarcane production in saline soils with Machine Learning and the Internet of Things Gopikrishnan, S., Srivastava, G. & […]
Improving sugarcane growth simulation by integrating multi-source observation into a crop model Yu, D., Zha, Y., Shi, L., Ye, H. & Zhang, Y. European Journal of Agronomy |132|January 2022 Machine learning in the prediction of sugarcane production environments Mourao de […]
Avoiding burning practice and its consequences on the greenhouse gas emission in sugarcane areas southern Brazil Perillo, L.I., et al Environmental science and pollution research |August 2021 Estimativa da evapotranspiracao de referencia por diferentes métodos para o setor sucroenergetico da […]
Changing fertilizer management practices in sugarcane production: Cane grower survey insights Hassan, S., Smart, J.C.R., Hay, R. & Rundle-Thiele, S. Land | March 2021 Design and Evaluation of Drip Irrigation System for Sugarcane in India Ravikumar, V., Angaleeswari, M. & […]
Agronomic, economic, and environmental assessment of site-specific fertilizer management of Brazilian sugarcane fields Sanches, G. M., et al Geoderma regional |January 2021 A spatially explicit assessment of sugarcane vinasse as a sustainable by-product Buller, L.S., et al Science of the […]
A new design of sugarcane seed cutting systems based on machine vision Zhou, D., et all Computers and electronics in agriculture |175| August 2020 El Niño / La Niña impact on crop production over different agro-climatic zones of Indo-Gangetic Plain […]
An improved workflow for calibration and downscaling of GCM climate forecasts for agricultural applications – A case study on prediction of sugarcane yield in Australia Schepen, A.; Everinghan, Y. & Wang, Q. Agricultural and forest meteorology |291| September 2020 Prediction […]
Nitrogen Utilization in Plants I Biological and Agronomic Importance Hirel, B. & Krapp, A. In: Collection Reference module in life science |2020| Assessing the fidelity of Landsat-based fAPAR models in two diverse sugarcane growing regions Muller, S.J., Sithole, P., Silgels, […]
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