Download the Conference Proceedings
Proceedings
Authors
| Filter results3 paper(s) found. |
|---|
1. Spectral assessment of chickpea morpho-physiological traits from space, air and groundChickpea (Cicer arietinum) is an important grain legume in semi-arid regions and water-stress is a major constraint to its productivity. Area under chickpea cultivation is growing but climate change toward greater aridity results in higher precipitation instability and risks yields. The ability to assess water potential can support irrigation decisions. Thus, improved ability to spatially assess plants water status can promote more efficient irrigation. The current... I. Herrmann, R. Sadeh, A. Avneri, Y. Tubul, R. Lati, S. Abbo, D.J. Bonfil, Z. Peleg |
2. VALIDATION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES FOR IMPROVED CROP YIELDS IN SEMI-ARID LANDS IN KENYAKenya’s Vision 2030 economic strategy identifies agriculture as one of the key sectors to drive the Country’s economy. However, the agricultural sector faces various challenges. For instance, the sector is predominantly rain-fed due large coverage of arid and semi-arid lands (ASALs) which is approximately 84% of the total land area. Due to challenges associated with rain-fed agriculture in Kenya, the ASALs have the lowest development indicators and the highest incidence of... A.O. Esilaba |
3. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture ApplicationsCurrently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto |