The overarching goal of this research was to develop and demonstrate an automated Cropland Classification Algorithm (ACCA) that will rapidly, routinely, and accurately classify agricultural cropland extent, areas, and characteristics (e.g., irrigated vs. rainfed) over large areas such as a country or a region through combination of multi-sensor remote sensing and secondary data. In this researc...

The results of two field trials to determine the effect of ratoon stunting disease on the growth and yield of some widely grown and newly released sugarcane varieties are described. In the plant crop of a trial grown under full irrigation, the greatest reductions in yields of cane and sugar among six varieties, approximately 15%, occurred in N 14 and NC0376. In the first ratoon, the greatest re...

Unlike the Central and Eastern U.S. Corn Belt where maize is grown almost entirely under rainfed conditions, maize in the Western Corn Belt is produced under both irrigated (3.2 million ha) and rainfed maize (4.1 million ha) conditions. Simulation modelling, regression, and boundary-function analysis were used to assess constraints to maize productivity in the Western Corn Belt. Aboveground bio...

Daily rainfall and evaporation data of 30 years (1969-1998) are analysed for prediction of hydrological events, such as occurrence of effective monsoon (EM) and withdrawal of monsoon (WM), for planning rainfed rice in Eastern India. Those hydrological events are treated with normal (ND), lognormal (LND), Pearson type 111 (PTD), and log-Pearson type 111 (LPTD) distributions. The historical data ...

A large portion of the world’s poor farm in rainfed systems where the water supply is unpredictable and droughts are common. In Thailand there are approximately 6.2 million ha of rain fed lowland rice, which account for 67% of the country’s total rice-growing area. This rice system is often characterised by too much and too little water in the same season. Farmers’ estimates of their annual los...

A newly developed wheat cultivar NARC 2011 was evaluated for physioagronomic traits by varying Humic acid concentrations and Effective microbes at different phenological stages during rabi season of 2010-11 in the field area allocated to national coordinated wheat program of national agricultural research centre, Islamabad. The experiment was laid out using randomized complete block design (RCB...

Wheat (Triticum aestivum) production in the rainfed area of Pothwar Pakistan is extremely vulnerable to high temperature. The expected increase in temperature due to global warming should result in shorter crop life cycles, and thus lower biomass and grain yield. Two major factors control wheat phenological development: temperature and photoperiod. To evaluate wheat development in response to t...